A comparison of per sample global scaling and per gene normalization methods for differential expression analysis of RNA-seq data.

Li, Xiaohong

A comparison of per sample global scaling and per gene normalization methods for differential expression analysis of RNA-seq data. [electronic resource] - PloS one 2017 - e0176185 p. digital

Publication Type: Comparative Study; Journal Article

1932-6203

10.1371/journal.pone.0176185 doi


Area Under Curve
Breast Neoplasms--metabolism
Computer Simulation
Datasets as Topic
Gene Expression Profiling--methods
High-Throughput Nucleotide Sequencing--methods
Humans
Microarray Analysis--methods
Models, Statistical
ROC Curve
Sequence Analysis, RNA--methods
Software