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Deep unfolded convolutional dictionary learning for motif discovery

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.11.06.515322Source: DataRank Database

Deep unfolded convolutional dictionary learning for motif discovery is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0. It has been cited 4 times.

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Open Access4 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (1 grants)OA: greenTopics (18)IDs (PubMed, OpenAlex)SDGs (1)

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Authors (2)

Gary D. Stormo ORCID,Shane Chu ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W4308320736

National Institutes of Health

Grant: 5R01GM125736-04

DNA Binding Properties of Zinc Finger Proteins

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/11/10/2022.11.06.515322.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.11.06.515322

repositoryhttps://doi.org/10.1101/2022.11.06.515322

Fields of Study

Computational Drug Discovery MethodsProtein Structure and DynamicsGenomics and Chromatin Dynamics0301 basic medicine03 medical and health sciences0206 medical engineering02 engineering and technology

Keywords

Motif (music)Computer scienceConvolutional neural networkDeep learningArtificial intelligenceSequence motifMachine learningPattern recognition (psychology)Computational biologyBiologyGenetics

Sustainable Development Goals

SDG 0: Quality Education