qtQDA: quantile transformed quadratic discriminant analysis for high-dimensional RNA-seq data

qtQDA: quantile transformed quadratic discriminant analysis for high-dimensional RNA-seq data

Classification on the basis of gene expression data derived from RNA-seq promises to become an important part of modern medicine. We propose a new classification method based on a model where the data is marginally negative binomial but dependent, thereby incorporating the dependence known to be pre...

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Bibliographic Details
Main Authors: Necla Koçhan, G. Yazgi Tutuncu, Gordon K. Smyth, Luke C. Gandolfo, Göknur Giner
Format: Article
Language:English
Published: PeerJ Inc. 2019-12-01
Series:PeerJ
Subjects:
Classification
Gene expression
RNA-seq
Dependent count data
Negative binomial distribution
Quadratic discriminant analysis
Online Access:https://peerj.com/articles/8260.pdf

Internet

https://peerj.com/articles/8260.pdf

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