11 citations · 17 across the 5 of their papers we have counts for
5 papers
Accurate and Efficient Estimation of Small P-values with the Cross-Entropy Method: Applications in Genomic Data Analysis
Yang Shi, Mengqiao Wang, Weiping Shi +3
Small -values are often required to be accurately estimated in large-scale genomic studies for the adjustment of multiple hypothesis tests and the ranking…
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…
Efficiently estimating small p-values in permutation tests using importance sampling and cross-entropy method
Yang Shi, Huining Kang, Ji-Hyun Lee +1
Permutation tests are widely used for statistical hypothesis testing when the sampling distribution of the test statistic under the null hypothesis is analytically intractable or u…
Robust estimation of isoform expression with RNA-Seq data
Jun Li, Hui Jiang
Qualifying gene and isoform expression is one of the primary tasks for RNA-Seq experiments. Given a sequence of counts representing numbers of reads mapped to different positions (…
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…