Classification and clustering of sequencing data using a Poisson model

DOI10.1214/11-AOAS493zbMath1234.62150arXiv1202.6201OpenAlexW3103302162MaRDI QIDQ765993

Daniela M. Witten

Publication date: 22 March 2012

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

Full work available at URL: https://arxiv.org/abs/1202.6201

zbMATH Keywords

Poissongene expressiongenomics

Mathematics Subject Classification ID

Related Items (13)

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Uses Software

• Bioconductor
• rda
• edgeR
• DEseq
• ElemStatLearn
• penalizedLDA

Cites Work

• Unnamed Item
• Sparse logistic principal components analysis for binary data
• Class prediction by nearest shrunken centroids, with applications to DNA microarrays.
• Some theory for Fisher's linear discriminant function, `naive Bayes', and some alternatives when there are many more variables than observations
• Convergence Behaviour of Dirichlet–Neumann and Robin Methods for a Nonlinear Transmission Problem
• Penalized Classification using Fisher’s Linear Discriminant
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
• THE TRANSFORMATION OF POISSON, BINOMIAL AND NEGATIVE-BINOMIAL DATA

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