A smoothed EM-algorithm for DNA methylation profiles from sequencing-based methods in cell lines or for a single cell type

DOI10.1515/sagmb-2016-0062zbMath1396.92060OpenAlexW2765927438WikidataQ47637449 ScholiaQ47637449MaRDI QIDQ1670290

Celia M. T. Greenwood, Kaiqiong Zhao, Mohamed Ouhourane, Karim Oualkacha, Lajmi Lakhal-Chaieb, Belkacem Abdous

Publication date: 5 September 2018

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/sagmb-2016-0062

zbMATH Keywords

kernel smoothingEM-algorithmDNA methylationMethylC-SeqRRBS

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40) Protein sequences, DNA sequences (92D20)

Related Items (3)

A novel statistical method for modeling covariate effects in bisulfite sequencing derived measures of DNA methylation ⋮ The cluster correlation-network support vector machine for high-dimensional binary classification ⋮ Group penalized quantile regression

Uses Software

• BEAT
• BSmooth

Cites Work

• On Variable Bandwidth Selection in Local Polynomial Regression

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