Expression analysis of RNA sequencing data from human neural and glial cell lines depends on technical replication and normalization methods
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology
Link
http://link.springer.com/content/pdf/10.1186/s12859-018-2382-0.pdf
Reference42 articles.
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3. Yu L, Fernandez S, Brock G. Power analysis for RNA-Seq differential expression studies. BMC bioinformatics. BMC Bioinformatics. 2017;18:234.
4. Bush SJ, McCulloch MEB, Summers KM, Hume DA. Clark EL. Integration of quantitated expression estimates from polyA-selected and rRNA-depleted RNA-seq libraries. BMC bioinformatics. BMC Bioinformatics. 2017;18:301.
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