Robust principal component analysis for accurate outlier sample detection in RNA-Seq data
Abstract 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 differen...
Main Authors: | Xiaoying Chen, Bo Zhang, Ting Wang, Azad Bonni, Guoyan Zhao |
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Format: | Article |
Language: | English |
Published: |
BMC
2020-06-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-020-03608-0 |
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