11 citations · 17 across the 5 of their papers we have counts for
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stat.ME2016
A Unified Model for Differential Expression Analysis of RNA-seq Data via L1-Penalized Linear Regression
Kefei Liu, Jieping Ye, Yang Yang +2
The RNA-sequencing (RNA-seq) is becoming increasingly popular for quantifying gene expression levels. Since the RNA-seq measurements are relative in nature, between-sample normaliz…
stat.ME2014★ 1 cited
Unit-free and robust detection of differential expression from RNA-Seq data
Hui Jiang, Tianyu Zhan
Ultra high-throughput sequencing of transcriptomes (RNA-Seq) is a widely used method for quantifying gene expression levels due to its low cost, high accuracy and wide dynamic rang…