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Deep Transfer Learning of Drug Responses by Integrating Bulk and Single-cell RNA-seq data

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.08.01.454654Source: DataRank Database

Deep Transfer Learning of Drug Responses by Integrating Bulk and Single-cell RNA-seq data is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2021). On theSindex it has a DataRank of 0. It has been cited 4 times.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:OA: greenTopics (16)IDs (PubMed, OpenAlex)SDGs (1)

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Authors (8)

Zhenyu Wu ORCID,Ren Qi ORCID,Anjun Ma ORCID,Jing Zhao ORCID,Dong Xu ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W3190649414

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2021/08/06/2021.08.01.454654.full.pdf

GREENhttps://www.biorxiv.org/content/biorxiv/early/2021/08/06/2021.08.01.454654.full.pdf

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2021/08/06/2021.08.01.454654.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2021.08.01.454654

repositoryhttps://doi.org/10.1101/2021.08.01.454654

Fields of Study

Single-cell and spatial transcriptomicsCell Image Analysis TechniquesCancer Genomics and DiagnosticsBiologyMedicineComputer Science

Keywords

Computational biologyDrugComputer scienceDrug repositioningDrug targetArtificial intelligenceMachine learningBiologyCancer researchPharmacology

Sustainable Development Goals

SDG 0: Industry, innovation and infrastructure

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