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Robust principal component analysis for accurate outlier sample detection in RNA-Seq data

BACKGROUND: High throughput RNA sequencing is a powerful approach to study gene expression. Due to the complex multiple-steps protocols in data acquisition, extreme deviation of a sample from samples of the same treatment group may occur due to technical variation or true biological differences. The...

詳細記述

保存先:
書誌詳細
出版年:BMC Bioinformatics
主要な著者: Chen, Xiaoying, Zhang, Bo, Wang, Ting, Bonni, Azad, Zhao, Guoyan
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2020
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7324992/
https://ncbi.nlm.nih.gov/pubmed/32600248
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-03608-0
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