A sparse negative binomial classifier with covariate adjustment for RNA-seq data
A sparse negative binomial classifier with covariate adjustment for RNA-seq data
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Publisher
Cold Spring Harbor: Cold Spring Harbor Laboratory Press
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Language
English
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Publisher
Cold Spring Harbor: Cold Spring Harbor Laboratory Press
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Contents
Supervised machine learning methods have been increasingly used in biomedical research and in clinical practice. In transcriptomic applications, RNA-seq data have become dominating and have gradually replaced traditional microarray due to its reduced background noise and increased digital precision. Most existing machine learning methods are, howev...
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Full title
A sparse negative binomial classifier with covariate adjustment for RNA-seq data
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TN_cdi_proquest_journals_2225501405
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2225501405
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E-ISSN
2692-8205
DOI
10.1101/636340
How to access this item
https://www.proquest.com/docview/2225501405?pq-origsite=primo&accountid=13902
