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SEM: sized-based expectation maximization for characterizing nucleosome positions and subtypes

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.17.562727Source: DataRank Database

SEM: sized-based expectation maximization for characterizing nucleosome positions and subtypes is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.

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Authors (3)

Kuangyu Yen ORCID,Shaun Mahony ORCID,Jianyu Yang ORCID

Live enrichment

PubMed:37904910 OpenAlex:https://openalex.org/W4387823606

National Science Foundation

Grant: 2045500

CAREER: Predicting transcription factor binding dynamics across cell types and species

National Institutes of Health

Grant: 5R35GM144135-03

Understanding the predeterminants of transcription factor regulatory activity

NIGMS NIH HHS

Grant: R35 GM144135

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/10/20/2023.10.17.562727.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.10.17.562727

repositoryhttps://doi.org/10.1101/2023.10.17.562727

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37904910

Fields of Study

Genomics and Chromatin DynamicsRNA modifications and cancerGenomic variations and chromosomal abnormalities0206 medical engineering02 engineering and technology

Keywords

NucleosomeMaximizationComputational biologyBusinessComputer scienceChemistryMathematicsBiologyMathematical optimizationHistoneBiochemistryDNAHistonesMiceMethodAnimalsChromatin Immunoprecipitation SequencingMouse Embryonic Stem CellsArticleNucleosomes