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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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Détails bibliographiques
Publié dans:PeerJ
Auteurs principaux: Koçhan, Necla, Tutuncu, G. Yazgi, Smyth, Gordon K., Gandolfo, Luke C., Giner, Göknur
Format: Artigo
Langue:Inglês
Publié: PeerJ Inc. 2019
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6967023/
https://ncbi.nlm.nih.gov/pubmed/31976167
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.8260
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