Variation-preserving normalization unveils blind spots in gene expression profiling
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Title
Variation-preserving normalization unveils blind spots in gene expression profiling
Authors
Keywords
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Journal
Scientific Reports
Volume 7, Issue 1, Pages -
Publisher
Springer Nature
Online
2017-03-09
DOI
10.1038/srep42460
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- A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis
- (2012) M.-A. Dillies et al. BRIEFINGS IN BIOINFORMATICS
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- (2012) Trevor D. Littlewood et al. CELL
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