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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Criminal Justice Drug Abuse Treatment Studies Resource Report Resource Website |
Criminal Justice Drug Abuse Treatment Studies (RRID:SCR_006996) | CJ-DATS, CJDATS | knowledge environment | A cooperative research program to explore the issues related to the complex system of offender treatment services. Nine research centers and a Coordinating Center were created in partnership with researchers, criminal justice professionals, and drug abuse treatment practitioners to form a national research infrastructure. The establishment of CJ-DATS is an outstanding example of cooperation among Federal agencies with the research community... We need to understand how to provide better drug treatment services for criminal justice offenders to alter their drug use and criminal behavior. - Dr. Nora Volkow, Director of NIDA. CJ-DATS PHASE I In 2002, NIDA launched the National Criminal Justice����������Drug Abuse Treatment Studies (CJ-DATS). CJ-DATS is a multisite research program aimed at improving the treatment of offenders with drug use disorders and integrating criminal justice and public health responses to drug involved offenders. From 2002 through 2008, CJ-DATS researchers from 9 research centers, a coordinating center, and NIDA worked together with federal, state, and local criminal justice partners to develop and test integrated approaches to the treatment of offenders with drug use disorders. The areas that were studied included: * Assessing Offender Problems * Measuring Progress in Treatment and Recovery * Linking Criminal Justice and Drug Abuse Treatment * Adolescent Interventions * HIV and Hepatitis Risk Reduction * Understanding Systems CJ-DATS PHASE II In 2008, CJ-DATS began to focus on the problems of implementing research-based practices drug treatment practices. This research concerns the organizational and systems processes involved in implementing valid, evidence-based practices to reduce drug use and drug-related recidivism for individuals in the criminal justice system. 12 CJ-DATS Research Centers are conducting implementation research in three primary domains: * Research to improve the implementation of evidence-based assessment processes for offenders with drug problems * Implementing effective treatment for drug-involved offenders * Implementing evidence-based interventions to improve an HIV continuum-of-care for offenders | drug, aids, criminal, health, hiv, offender, treatment, justice, drug abuse, drug treatment service, criminal justice offender, drug use, criminal behavior, recovery, adolescent, intervention, hepatitis |
is related to: NIDA Networking Project: Facilitating information exchange and research collaboration has parent organization: National Institute on Drug Abuse |
Drug use disorder | NIDA | nif-0000-10202 | SCR_006996 | Criminal Justice-Drug Abuse Treatment Studies | 2025-04-19 06:43:50 | 0 | ||||||
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JAX Animal Behavior System Resource Report Resource Website |
JAX Animal Behavior System (RRID:SCR_023721) | JABS | software resource | Video based phenotyping platform for laboratory mouse. Provides complete details of software and hardware, including 3D designs used for data collection. Data acquisition system consists of video collection hardware and software, behavior labeling and active learning app, and online database for sharing classifiers. Hardware and software solution collects high quality data for behavior analysis. | OpenBehavior, data acquisition system, integrated mouse phenotyping platform, behavior analysis, | is listed by: OpenBehavior | Jackson Laboratory Directors Innovation Fund ; NIDA DA041668; NIDA DA048634 |
DOI:10.1101/2022.01.13.476229 | Free, Available for download, Freely available | SCR_023721 | 2025-04-19 06:52:52 | 0 | |||||||
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NIF Registry Automated Crawl Data Resource Report Resource Website 1+ mentions |
NIF Registry Automated Crawl Data (RRID:SCR_012862) | NIF Registry Automated Crawl Data, RDP | data or information resource, data set | An automatic pipeline based on an algorithm that identifies new resources in publications every month to assist the efficiency of NIF curators. The pipeline is also able to find the last time the resource's webpage was updated and whether the URL is still valid. This can assist the curator in knowing which resources need attention. Additionally, the pipeline identifies publications that reference existing NIF Registry resources as this is also of interest. These mentions are available through the Data Federation version of the NIF Registry, http://neuinfo.org/nif/nifgwt.html?query=nlx_144509 The RDF is based on an algorithm on how related it is to neuroscience. (hits of neuroscience related terms). Each potential resource gets assigned a score (based on how related it is to neuroscience) and the resources are then ranked and a list is generated. | resource, mention, update |
is used by: NIF Data Federation is used by: Integrated Datasets is related to: PubMed Central is related to: Integrated Auto-Extracted Annotation is related to: Integrated Manually Extracted Annotation is related to: PubMed has parent organization: Neuroscience Information Framework |
U.S. Department of Health and Human Services ; NIH Blueprint for Neuroscience Research ; NIDA contract HHSN27120080035C |
PMID:22434839 | Individual resources within the data set are licensed by the respective owners. The data set of these resources is freely available for use and distribution by you subject to citation of NIF in accordance with the Creative Commons Attribution License. | nlx_144525 | http://lucene1.neuinfo.org/nif_resource/current/ | SCR_012862 | Resource Discovery Pipeline | 2025-05-06 11:08:54 | 1 | ||||
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Mouse Thalamic Projectome Dataset Resource Report Resource Website |
Mouse Thalamic Projectome Dataset (RRID:SCR_015702) | data or information resource, data set | Data set of thalamo-centric mesoscopic projection maps to the cortex and striatum. The maps are established through two-color, viral (rAAV)-based tracing images and high throughout imaging. | jpeg image data set, projection map, thalamocortical map, viral (rAAV)-based tracing, thalamo-centric mesoscopic projection map | NIH DP2 OD008425; NINDS R01 NS081071; NIDDK T32 DK007680; NINDS P30 NS069305; NIDA R01 DA008163; NINDS U01 NS094247 |
PMID:25086607 PMID:27892854 |
Free | https://github.com/BJHunnicutt/anatomy | SCR_015702 | 2025-05-06 11:11:10 | 0 | ||||||||
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ABCD Study Resource Report Resource Website 100+ mentions |
ABCD Study (RRID:SCR_015769) | ABCD | data or information resource, data set | Long-term study of brain development and child health in the United States. The study tracks subjects' biological and behavioral development through adolescence into young adulthood to determine how childhood experiences (such as sports, videogames, social media, unhealthy sleep patterns, and smoking) interact with each other and with a child’s changing biology to affect brain development and social, behavioral, academic, health, and other outcomes. | clinical study, adolescent, development, research, neuroimaging, brain development |
is related to: DEAP - Data Exploration and Analysis Portal works with: geocoding |
NIDA U24 DA041123; NIDA U24 DA041147; NIDA U01 DA041120; NIDA U01 DA041022; NIDA U01 DA041025; NIDA U01 DA041093; NIDA U01 DA041028; NIDA U01 DA041048; NIDA U01 DA041106; NIDA U01 DA041134; NIDA U01 DA041148; NIDA U01 DA041156; NIDA U01 DA041174; NIDA U24DA041123; NIDA U01 DA041117 |
PMID:29051027 | Available to the scientific community | SCR_015769 | The Adolescent Brain Cognitive Development Study | 2025-05-06 11:11:14 | 464 | ||||||
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MIALAB - Resting State Data Resource Report Resource Website 10+ mentions |
MIALAB - Resting State Data (RRID:SCR_008914) | data or information resource, data set | An MRI data set that demonstrates the utility of a mega-analytic approach by identifying the effects of age and gender on the resting-state networks (RSNs) of 603 healthy adolescents and adults (mean age: 23.4 years, range: 12-71 years). Data were collected on the same scanner, preprocessed using an automated analysis pipeline based in SPM, and studied using group independent component analysis. RSNs were identified and evaluated in terms of three primary outcome measures: time course spectral power, spatial map intensity, and functional network connectivity. Results revealed robust effects of age on all three outcome measures, largely indicating decreases in network coherence and connectivity with increasing age. Gender effects were of smaller magnitude but suggested stronger intra-network connectivity in females and more inter-network connectivity in males, particularly with regard to sensorimotor networks. These findings, along with the analysis approach and statistical framework described, provide a useful baseline for future investigations of brain networks in health and disease. | fmri, functional connectivity, resting-state, independent component analysis, connectome, adolescent, adult, mri, resting state network, connectivity, dataset | has parent organization: MIALAB - Medical Image Analysis Lab | Aging | NRC Bilatgrunn ; NIBIB 1R01-EB006841; NIBIB 1R01- EB005846; NIBIB 2R01-EB000840; NIBIB 1 P20 RR021938-01; DOE DE-FG02-08ER64581; NIMH 1R01-MH072681-01; John Templeton Foundation grant 12456; NIAAA 1P20 AA017068; NINDSR21NS064464 ; NIDA1 R03 DA022435-01A1 ; NIDA1 R03 DA024212-01A1 ; NIDA KO1-DA021632-02 |
PMID:21442040 | nlx_151552 | SCR_008914 | Medical Image Analysis Laboratory - Resting State Data, MIA Laboratory - Resting State Data, Medical Image Analysis Lab - Resting State Data, Medical Image Analysis (MIA) Laboratory - Resting State Data | 2025-05-06 11:06:37 | 10 | ||||||
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Integrated Auto-Extracted Annotation Resource Report Resource Website |
Integrated Auto-Extracted Annotation (RRID:SCR_005892) | Integrated AEA, Auto-Extracted Annotation | data or information resource, data set | A virtual database that indexes both BioNOT for negation data, and the Resource Discovery Pipeline: an automated resource discovery and semi-automated type characterization with text-mining scripts that facilitate curation team efforts to discover, integrate and display new content. This virtual database currently indexes the following resources: * BioNOT, http://snake.ims.uwm.edu/bionot/index.php?searchterm=mecp2+autism&submit=Search * Resource Discovery Pipeline, http://lucene1.neuinfo.org/nif_resource/current/ | annotation, negative data |
is used by: NIF Data Federation is related to: BioNOT is related to: NIF Registry Automated Crawl Data is related to: PubMed has parent organization: Integrated |
NIH Blueprint for Neuroscience Research ; NIDA Contract HHSN271200577531C |
PMID:22434839 | Data are licensed by their respective owners. Use and distribution is subject to the Terms of Use by the original resource as well as the, Creative Commons Attribution License | nlx_149462 | http://neuinfo.org/nif/nifgwt.html?query=nlx_149462 | SCR_005892 | NIF Integrated Automatically Extracted Annotation, NIF Integrated Auto. Extracted Annotation, NIF Integrated Auto-Extracted Annotation, Integrated Automatically Extracted Annotation, Integrated Auto Extracted Annotation, NIF Auto-Extracted Annotation | 2025-05-06 11:03:37 | 0 | ||||
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PolymiRTS Resource Report Resource Website 100+ mentions |
PolymiRTS (RRID:SCR_003389) | PolymiRTS | data or information resource, database | Database of naturally occurring DNA variations in microRNA (miRNA) seed regions and miRNA target sites. MicroRNAs pair to the transcripts of protein-coding genes and cause translational repression or mRNA destabilization. SNPs and INDELs in miRNAs and their target sites may affect miRNA-mRNA interaction, and hence affect miRNA-mediated gene repression. The PolymiRTS database was created by scanning 3'UTRs of mRNAs in human and mouse for SNPs and INDELs in miRNA target sites. Then, the potential downstream effects of these polymorphisms on gene expression and higher-order phenotypes are identified. Specifically, genes containing PolymiRTSs, cis-acting expression QTLs, and physiological QTLs in mouse and the results of genome-wide association studies (GWAS) of human traits and diseases are linked in the database. The PolymiRTS database also includes polymorphisms in target sites that have been supported by a variety of experimental methods and polymorphisms in miRNA seed regions. | polymorphism, microrna, human, disease, trait, snp, indel, pathway, genetic variant, gene expression, phenotype, chromosome, chromosome location, bio.tools, FASEB list |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: University of Tennessee Health Science Center; Tennessee; USA |
PhRMA Foundation ; UT Center for Integrative and Translational Genomics ; NICHD HD052472; NIAAA AA014425; NIDA DA021131; NINR NR009270; NIAID AI081050; NIAID AI019782; American Heart Association 0830134N; United States Department of Defense W81XHW-05-01-0227 |
PMID:24163105 PMID:22080514 |
Acknowledgement requested | nif-0000-03324, biotools:polymirts, OMICS_00391 | https://bio.tools/polymirts | http://compbio.utmem.edu/miRSNP/ | SCR_003389 | Polymorphism in microRNA Target Site, PolymiRTS Database, Polymorphism in microRNAs and their TargetSites | 2025-05-06 11:01:31 | 146 | |||
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NeuroPedia Resource Report Resource Website 10+ mentions |
NeuroPedia (RRID:SCR_001551) | NeuroPedia | data or information resource, database | A neuropeptide encyclopedia of peptide sequences (including genomic and taxonomic information) and spectral libraries of identified MS/MS spectra of homolog neuropeptides from multiple species. | proteomics, peptide, neuropeptide, mass spectrometry assay, peptide sequence, spectrum, homolog | has parent organization: Center for Computational Mass Spectrometry | NCRR P41-RR024851; NIDA 5K01DA23065; NINDS R01 NS24553; NIDA R01 DA04271; NIMH R01 MH077305; NHLBI P01 HL58120 |
PMID:21821666 | nlx_152894 | SCR_001551 | NeuroPedia: Neuropeptide database and spectra library | 2025-05-06 10:59:46 | 11 | ||||||
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Pediatric Imaging Neurocognition and Genetics Resource Report Resource Website 50+ mentions |
Pediatric Imaging Neurocognition and Genetics (RRID:SCR_008953) | PING | data or information resource, database | A large multi-site pediatric MRI and genetics data resource to facilitate studies of the genomic landscape of the developing human brain. It includes information about the developing mental and emotional functions of the children to understand the genetic basis of individual differences in brain structure and connectivity, cognition, and personality. Investigators on the project are studying 1400 children between the ages of 3 and 20 years so that links between genetic variation and developing patterns of brain connectivity can be examined. Investigators interested in the effects of a particular gene will be able to search the database for any brain areas or connections between areas that differ as a function of variation in a particular gene, and also to determine if the genes appear to affect the course of brain development at some point during childhood. A data exploration tool has been created for mapping and analyzing MRI data sets collected for PING and related developmental studies. Approved investigators will be able to view raw image sets and derived 3D brain maps of MRI and DTI data, conduct hypothesis testing, and graph brain area measures as they change across the time course of development. PING Cores * Coordinating Core: Functions include project management, screening of participants and maintaining the database * Neuroimaging Core: applying a standardized high-resolution structural MRI protocol involving 3-D T1-weighted scans, a T2-weighted volume, and a set of diffusion-weighted scans with multiple b values and diffusion directions, scans to estimate MRI relaxation rates, and gradient echo EPI scans for resting state fMRI. Importantly, adaptive motion compensation, using ����??PROMO����??, a novel real-time motion correction algorithm will be used. Specific PING protocols for each scanner manufacturer: ** PING MRI Protocol - GE ** PING MRI Protocol - Philips ** PING MRI Protocol - Siemens * Assessment Core: Cognitive assessments for the PING project are conducted using the NIH Toolbox for Cognition. * Genomics Core: functions as a central repository for receipt of saliva samples collected for each study participant. Once received, samples are catalogued, maintained, and DNA is extracted using state-of-the-field laboratory techniques. Ultimately, genome-wide genotyping is performed on the extracted DNA using the Illumina Human660W-Quad BeadChip. PING involves 10 sites throughout the country including UCSD, University of Hawaii, Scripps Genomics, UCLA, UC Davis, Kennedy Krieger Institute/Johns Hopkins, Sacker Institute/Cornell University, University of Massachusetts, Massachusetts General Hospital/Harvard, and Yale. Families who may want to participate in the study, or others who want to know more about it, may email questions to ping (at) ucsd.edu. | pediatric, neuroimaging, genetics, child, early adult human, adolescent, genetic variant, magnetic resonance imaging, brain, gene, brain structure, connectivity, function, brain development, cognition, experimental protocol, saliva, dna, diffusion tensor imaging, image, genotype, dicom, imaging genomics, magnetic resonance, nifti, FASEB list |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: NIH Toolbox - Assessment of Neurological and Behavioral Function has parent organization: University of California at San Diego; California; USA has parent organization: Multimodal Imaging Laboratory |
NIDA ; ARRA ; NICHD |
Data Use Agreement required. | nlx_151904 | http://www.nitrc.org/projects/ping | http://ping.chd.ucsd.edu/ | SCR_008953 | PING Study, Pediatric Imaging Neurocognition and Genetics (PING) | 2025-05-06 11:06:38 | 75 | ||||
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Comprehensive Drug Self-administration and Discrimination Bibliographic Databases Resource Report Resource Website |
Comprehensive Drug Self-administration and Discrimination Bibliographic Databases (RRID:SCR_000707) | bibliography, data or information resource, database | Database of bibliographic details of over 9,000 references published between 1951 and the present day, and includes abstracts, journal articles, book chapters and books replacing the two former separate websites for Ian Stolerman's drug discrimination database and Dick Meisch's drug self-administration database. Lists of standardized keywords are used to index the citations. Most of the keywords are generic drug names but they also include methodological terms, species studied and drug classes. This index makes it possible to selectively retrieve references according to the drugs used as the training stimuli, drugs used as test stimuli, drugs used as pretreatments, species, etc. by entering your own terms or by using our comprehensive lists of search terms. Drug Discrimination Drug Discrimination is widely recognized as one of the major methods for studying the behavioral and neuropharmacological effects of drugs and plays an important role in drug discovery and investigations of drug abuse. In Drug Discrimination studies, effects of drugs serve as discriminative stimuli that indicate how reinforcers (e.g. food pellets) can be obtained. For example, animals can be trained to press one of two levers to obtain food after receiving injections of a drug, and to press the other lever to obtain food after injections of the vehicle. After the discrimination has been learned, the animal starts pressing the appropriate lever according to whether it has received the training drug or vehicle; accuracy is very good in most experiments (90 or more correct). Discriminative stimulus effects of drugs are readily distinguished from the effects of food alone by collecting data in brief test sessions where responses are not differentially reinforced. Thus, trained subjects can be used to determine whether test substances are identified as like or unlike the drug used for training. Drug Self-administration Drug Self-administration methodology is central to the experimental analysis of drug abuse and dependence (addiction). It constitutes a key technique in numerous investigations of drug intake and its neurobiological basis and has even been described by some as the gold standard among methods in the area. Self-administration occurs when, after a behavioral act or chain of acts, a feedback loop results in the introduction of a drug or drugs into a human or infra-human subject. The drug is usually conceptualized as serving the role of a positive reinforcer within a framework of operant conditioning. For example, animals can be given the opportunity to press a lever to obtain an infusion of a drug through a chronically-indwelling venous catheter. If the available dose of the drug serves as a positive reinforcer then the rate of lever-pressing will increase and a sustained pattern of responding at a high rate may develop. Reinforcing effects of drugs are distinguishable from other actions such as increases in general activity by means of one or more control procedures. Trained subjects can be used to investigate the behavioral and neuropharmacological basis of drug-taking and drug-seeking behaviors and the reinstatement of these behaviors in subjects with a previous history of drug intake (relapse models). Other applications include evaluating novel compounds for liability to produce abuse and dependence and for their value in the treatment of drug dependence and addiction. The bibliography is updated about four times per year. | drug, drug-seeking behavior, drug-taking behavior, abstract, behavior, behavioral neuropharmacology, discrimination, non-human vertebrate, publication, relapse, self-administration, substance-related disorder, book, journal article | has parent organization: University of Texas Health Science Center at Houston; Texas; USA | NIDA DA-04376 | nif-0000-00090 | http://www.drugrefs.org/ | SCR_000707 | Drug Self-administration and Discrimination Bibliographic Databases | 2025-05-12 11:02:44 | 0 | |||||||
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Substructure Index-based Approximate Graph Alignment Resource Report Resource Website 10+ mentions |
Substructure Index-based Approximate Graph Alignment (RRID:SCR_003434) | SAGA | software resource, software application | SAGA (Substructure Index-based Approximate Graph Alignment) is a tool for querying a biological graph database to retrieve matches between subgraphs of molecular interactions and biological networks. SAGA implements an efficient approximate subgraph matching algorithm that can be used for a variety of biological graph matching problems such as the pathway matching SAGA uses to compare pathways in KEGG and Reactome. You can also use SAGA to find matches in literature databases that have been parsed into semantic graphs. In this use of SAGA, portions of PubMed have been parsed into graphs that have nodes representing gene names. A link is drawn between two genes if they are discussed in the same sentence (indicating there is potential association between the two genes). SAGA lets you match graphs between different databases even though the content is distinct and the databases organize pathways in different ways. This cross-database matching is achieved by SAGA's flexible approximate subgraph matching model that computes graph similarity, and allows for node gaps, node mismatches, and graph structural differences. Comparing pathways from different databases can be a useful precursor to pathway data integration. SAGA is very efficient for querying relatively small graphs, but becomes prohibitory expensive for querying large graphs. Large graph data sets are common in many emerging database applications, and most notably in large-scale scientific applications. To fully exploit the wealth of information encoded in graphs, effective and efficient graph matching tools are critical. Due to the noisy and incomplete nature of real graph datasets, approximate, rather than exact, graph matching is required. Furthermore, many modern applications need to query large graphs, each of which has hundreds to thousands of nodes and edges. TALE is an approximate subgraph matching tool for matching graph queries with a large number of nodes and edges. TALE employs a novel indexing technique that achieves a high pruning power and scales linearly with the database size. | gene, algorithm, alignment, biological, graph, interaction, literature, molecular, pathway, query, reactome, structural, subgraph, substructure, tool, graph similarity |
is listed by: Biositemaps has parent organization: National Center for Integrative Biomedical Informatics has parent organization: University of Michigan; Ann Arbor; USA |
Microsoft ; NIDA 1-U54-DA021519-01A1 |
PMID:17110368 | Access free via the web; Binaries are also freely available. If you use SAGA for any work that leads to a publication you must cite paper. | nif-0000-33157 | SCR_003434 | SAGA (Substructure Index-based Approximate Graph Alignment), SAGA - Substructure Index-based Approximate Graph Alignment, SAGA: A Fast and Flexible Graph Matching Tool | 2025-05-12 11:05:30 | 23 | |||||
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Lyngby Resource Report Resource Website 1+ mentions |
Lyngby (RRID:SCR_007143) | Lyngby | software resource, data analysis software, software application, data processing software | Matlab toolbox for the analysis of functional neuroimages (PET, fMRI). The toolbox contains a number of models: FIR-filter, Lange-Zeger, K-means clustering among others, visualizations and reading of neuroimaging files. | functional, statistical, fmri, pet, matlab, neuroimaging |
is listed by: Biositemaps has parent organization: THOR Center for Neuroinformatics |
Human Brain Project ; Danish Research Council ; European Union ; BIOMED2 ; MAPAWAMO ; NASA ; NSF ; DOE ; NIDA R01 DA09246; NIMH P20 MH57180 |
Free, Non-commercial | nif-0000-00324 | SCR_007143 | Lyngby Toolbox, Lyngby - A Toolbox for Functional Neuroimaging | 2025-05-13 11:14:23 | 1 | ||||||
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GSEApy Resource Report Resource Website 50+ mentions |
GSEApy (RRID:SCR_025803) | software resource, software toolkit, source code | Software Python package for performing gene set enrichment analysis. Used for characterizing gene expression changes by analysis of large single-cell datasets. | gene set enrichment analysis, characterizing gene expression changes, large single-cell datasets, | NIDA 5U01DA04439902 | PMID:36426870 | Free, Available for download, Freely available | https://github.com/zqfang/GSEApy | SCR_025803 | Gene Set Enrichment Analysis python | 2025-05-12 11:26:31 | 72 | |||||||
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FINDTHECAT Resource Report Resource Website |
FINDTHECAT (RRID:SCR_016036) | software resource, software application | Software that conducts a jspsych test for response time evaluation. Used in the ABCD Study. | psych, jspsych, psychology, response, time, evaluation, task, test, abcd, adolescent | NIDA U24 DA041123 | Free, Available for download | SCR_016036 | 2025-05-12 11:17:27 | 0 | ||||||||||
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stroop-task Resource Report Resource Website |
stroop-task (RRID:SCR_016033) | software resource, software application | Software that conducts the Stroop Color Task. Used in the ABCD Study. | stroop, task, color, vision, abcd, adolesence, study | NIDA U24 DA041123 | Free, Available for download | SCR_016033 | 2025-05-12 11:17:27 | 0 | ||||||||||
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DeepNeuro Resource Report Resource Website 1+ mentions |
DeepNeuro (RRID:SCR_016911) | software resource, software toolkit | Software Python package for neuroimaging data. Framework to design and train neural network architectures. Used in medical imaging community to ensure consistent performance of networks across variable users, institutions, and scanners. | Design and train neural network architectures, medical imaging, neuroimaging data, neuroimaging |
uses: Python Programming Language is related to: Massachusetts General Hospital has parent organization: Harvard University; Cambridge; United States |
NIDA T90 DA022759; NIDA R90 DA023427; NIH Blueprint for Neuroscience Research ; NIBI ; NIBIB T32 EB1680; NCI U01 CA154601; NCI U24 CA180927; NCI U24 CA180918; NIBIB P41 EB015896 |
PMID:32578020 | Free, Available for download, Freely available | SCR_016911 | 2025-05-12 11:18:22 | 2 | ||||||||
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OmicsGAN Resource Report Resource Website 1+ mentions |
OmicsGAN (RRID:SCR_022976) | software resource, software application | Software generative adversarial network to integrate two omics data and their interaction network to generate one synthetic data corresponding to each omics profile that can result in better phenotype prediction. Used to capture information from interaction network as well as two omics datasets and fuse them to generate synthetic data with better predictive signals. | integrate two omics data, interaction network, generate one synthetic data corresponding to each omics profile, phenotype prediction | NSF III1755761; NIGMS R01GM113952; NIDA DK097771 |
PMID:34415323 | Free, Available for download, Freely available | SCR_022976 | Omics Generative Adversarial Network | 2025-05-12 11:23:28 | 1 | ||||||||
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redcap-importer Resource Report Resource Website |
redcap-importer (RRID:SCR_016032) | software resource, software application, data acquisition software, data processing software | Software that automates the process of retrieving and converting data to the format of a RedCap table and allows selection of directories and files for import. | automate, process, retrvinig, converting, data, format, research, electronic, data, capture, table, selection, directory, import | is related to: University of California at San Diego; California; USA | NIDA U24 DA041123 | Free, Available for download | SCR_016032 | 2025-05-13 11:17:35 | 0 | |||||||||
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ABCDreport Resource Report Resource Website |
ABCDreport (RRID:SCR_016030) | software resource, data analysis software, software application, data processing software | Software application as a simple system to review study progress. Used in ABCD study. | system, simple, review, study, progress, development, adolescence, brain, cognitive, report | is related to: University of California at San Diego; California; USA | NIDA U24 DA041123 | Free, Available for download | SCR_016030 | 2025-05-13 11:17:35 | 0 |
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