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Predicting drug toxicity at the intersection of informatics and biology: DTox builds a foundation

Patterns(2022)10.1016/j.patter.2022.100586Source: DataRank Database

Predicting drug toxicity at the intersection of informatics and biology: DTox builds a foundation is a research paper published in Patterns (2022). On theSindex it has a DataRank of 0.

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Scored on demand from live citation data

Open Access0 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 0.00)OA: goldTopics (12)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Bruce S. Kristal ORCID,Matthew J. Sniatynski ORCID

Live enrichment

PubMed:36124303 PMC:PMC9481942 OpenAlex:https://openalex.org/W4295136697

NHLBI

Grant: R01-HL140335

NHLBI NIH HHS

Grant: R01 HL140335

National Institutes of Health

FWCI

0.00

Citation Percentile

0.1%

goldLicense: cc-by-nc-nd

journalhttp://www.cell.com/article/S2666389922002045/pdf

publisherhttp://www.cell.com/article/S2666389922002045/pdf

publisherhttps://api.elsevier.com/content/article/PII:S2666389922002045?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2666389922002045?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.patter.2022.100586

Fields of Study

Computational Drug Discovery MethodsGenetics, Bioinformatics, and Biomedical ResearchCell Image Analysis Techniques

Keywords

Computer scienceDeep learningArtificial intelligenceInformaticsData scienceComputational biologyModular designMachine learningBiology

Sustainable Development Goals

SDG 0: Good health and well-being