Identifying heterogeneous transgenerational DNA methylation sites via clustering in beta regression

DOI10.1214/15-AOAS865zbMath1397.62453arXiv1602.02895OpenAlexW3105641609WikidataQ57416662 ScholiaQ57416662MaRDI QIDQ262390

Wilfried Karmaus, Shengtong Han, John W. Holloway, Nandini Mukherjee, Gabrielle A. Lockett, Hongmei Zhang

Publication date: 29 March 2016

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1602.02895

zbMATH Keywords

clusteringbeta regressionDNA methylation transmissionEM

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Protein sequences, DNA sequences (92D20)

Related Items (2)

Identifying intergenerational patterns of correlated methylation sites ⋮ Influence measures in beta regression models through distance between distributions

Uses Software

• AS 136
• IMA

Cites Work

• Unnamed Item
• Beta Regression for Modelling Rates and Proportions
• Algorithm AS 136: A K-Means Clustering Algorithm
• Adjusting batch effects in microarray expression data using empirical Bayes methods
• Estimating the dimension of a model
• The Clustering of Regression Models Method with Applications in Gene Expression Data

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