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Synthetic Lethality Screening with Recursive Feature Machines

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.12.03.569803Source: DataRank Database

Synthetic Lethality Screening with Recursive Feature Machines is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (1 grants)OA: greenTopics (21)IDs (PubMed, OpenAlex)SDGs (2)

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Authors (3)

Adityanarayanan Radhakrishnan ORCID,Caroline Uhler ORCID,Cathy Cai

Live enrichment

PubMed:38106093 OpenAlex:https://openalex.org/W4389349089

National Institutes of Health

Grant: 4DP2AT012345-02

Causal Representation Learning for the Spatial Analysis of Transcriptomic and Imaging Data in Tissue Contexts

greenLicense: cc-by-nc

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/12/05/2023.12.03.569803.full.pdf

GREENhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10723282

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/12/05/2023.12.03.569803.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.12.03.569803

repositoryhttp://dx.doi.org/10.1101/2023.12.03.569803

Fields of Study

CRISPR and Genetic EngineeringGenomics and Chromatin DynamicsRNA Research and SplicingMedicineBiologyComputer Science0206 medical engineering02 engineering and technology

Keywords

Synthetic lethalityComputer scienceFeature (linguistics)Pipeline (software)Artificial intelligenceGene knockoutComputational biologyMachine learningGeneBiologyGeneticsDNA repairArticle

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being