A sparse negative binomial classifier with covariate adjustment for RNA-seq data

DOI10.1214/21-AOAS1532zbMath1498.62248MaRDI QIDQ2154214

Hsin-En Huang, Colleen A. McClung, Tanbin Rahman, Wen-Ping Hseih, An-Shun Tai, George C. Tseng, Yu-Jia Li

Publication date: 14 July 2022

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

zbMATH Keywords

classificationcount datacovariate adjustmentRNA-seq data

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)

Uses Software

• edgeR

Cites Work

• Unnamed Item
• Classification and clustering of sequencing data using a Poisson model
• Model-based feature selection and clustering of RNA-seq data for unsupervised subtype discovery
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data

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