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In silico generation and augmentation of regulatory variants from massively parallel reporter assay using conditional variational autoencoder

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.06.25.600715Source: DataRank Database

In silico generation and augmentation of regulatory variants from massively parallel reporter assay using conditional variational autoencoder is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0.

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Enrichment:Funding (1 grants)OA: greenTopics (23)IDs (PubMed, OpenAlex)SDGs (1)

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Authors (5)

Yi Xia ORCID,Sai Ritesh Thela,Yunlong Liu ORCID,Li Chen ORCID,Weijia Jin ORCID

Live enrichment

PubMed:38979263 OpenAlex:https://openalex.org/W4400142505

National Institutes of Health

Grant: 5R35GM142701-05

Computational modeling of genetic variations by multi-omics integration todecipher personal genome

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2024/06/29/2024.06.25.600715.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2024.06.25.600715

repositoryhttp://dx.doi.org/10.1101/2024.06.25.600715

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38979263

Fields of Study

Genomics and Chromatin DynamicsRNA and protein synthesis mechanismsRNA Research and Splicing0206 medical engineering02 engineering and technology

Keywords

In silicoAutoencoderMassively parallelComputational biologyComputer scienceParallel computingBiologyMathematicsBiological systemArtificial intelligenceGeneticsGeneArtificial neural networkGenetic variantsMassively parallel reporter assays (MPRAs)610Gene expressionArticle

Sustainable Development Goals

SDG 0: Good health and well-being