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Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells

Cancer Cell(2020)10.1016/j.ccell.2020.09.014Source: DataRank Database

Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells is a research paper published in Cancer Cell (2020). On theSindex it has a DataRank of 0. It has been cited 535 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access535 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: bronzeTopics (37)IDs (PubMed)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 (8)

Jisoo Park ORCID,Samson Fong ORCID,Kyle S. Sanchez ORCID,John J. Y. Lee ORCID,Jason F. Kreisberg ORCID

Live enrichment

PubMed:26657633

National Institutes of Health

Grant: 5R50CA243885-02

Functional Cancer Cell Maps

National Institutes of Health

Grant: 5R01ES014811-08

A Systems Approach to Mapping the DNA Damage Response

National Institutes of Health

Grant: 2P41GM103504-06

Core_Training

bronzeLicense: Elsevier Non-Commercial

publisherhttp://www.cell.com/article/S1535610820304888/pdf

publisherhttps://api.elsevier.com/content/article/PII:S1535610820304888?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1535610820304888?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7737474

https://doi.org/10.1016/j.ccell.2020.09.014

Fields of Study

02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

Keywords

Patient-Specific Modelingdrug synergyDatabases, FactualGenotypeprecision medicineOncology and Carcinogenesis610Antineoplastic AgentsDrug Screening AssaysCell LineDatabasesDeep LearningCell Line, TumorNeoplasms616Machine Learning and Artificial IntelligencecancerHumansinterpretable deep learningOncology & CarcinogenesisFactualnetwork modelingTumorBiomedical and Clinical SciencesNeurosciencesComputational BiologyDrug SynergismAntitumorBiological SciencesGood Health and Well Beingmachine learningNetworking and Information Technology R&D (NITRD)Biochemistry and cell biologyGeneric health relevanceDrug Screening Assays, Antitumor

Sustainable Development Goals

SDG 3: 3. Good health