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A Bayesian Noisy Logic Model for Inference of Transcription Factor Activity from Single Cell and Bulk Transcriptomic Data

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.05.03.539308Source: DataRank Database

A Bayesian Noisy Logic Model for Inference of Transcription Factor Activity from Single Cell and Bulk Transcriptomic Data is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.

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Enrichment:Funding (8 grants)OA: greenTopics (19)IDs (PubMed, OpenAlex)

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Authors (4)

Susan Patalano ORCID,Jill A. Macoska ORCID,Kourosh Zarringhalam ORCID,Argenis Arriojas ORCID

Live enrichment

PubMed:37205561 OpenAlex:https://openalex.org/W4372347796

National Institutes of Health

Grant: 1R21AI150090-01A1

Dissecting transcriptional mechanisms underlying Toxoplasma stage transition through in vitro evolution

National Institutes of Health

Grant: 3U54CA156734-02S1

UMass Boston-DF/HCC U54 Partnership (2 of 2)

National Institutes of Health

Grant: 5R01AI167570-03

Comparative systems biology of apicomplexan cell division

National Institutes of Health

Grant: 5U54DK104310-02

Administrative Core and Center Director

NIAID NIH HHS

Grant: R01 AI167570

NIAID NIH HHS

Grant: R21 AI150090

NCI NIH HHS

Grant: U54 CA156734

NIDDK NIH HHS

Grant: U54 DK104310

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/05/05/2023.05.03.539308.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.05.03.539308

repositoryhttps://doi.org/10.1101/2023.05.03.539308

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37205561

Fields of Study

Gene Regulatory Network AnalysisGenomics and Chromatin DynamicsRNA Research and Splicing0206 medical engineering02 engineering and technology

Keywords

InferenceComputer scienceComputational biologyBayesian probabilityBayesian inferenceTranscription factorSystems biologyData miningBiologyGeneArtificial intelligenceGeneticsMethods ArticleArticle