An Enhanced Quantile Approach for Assessing Differential Gene Expressions

DOI10.1111/j.1541-0420.2007.00903.xzbMath1137.62403OpenAlexW2029969264WikidataQ42647614 ScholiaQ42647614MaRDI QIDQ3506489

Xuming He, Huixia Wang

Publication date: 13 June 2008

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2007.00903.x

zbMATH Keywords

quantile regressionsimulationsinformation sharing

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Monte Carlo methods (65C05) Estimation in survival analysis and censored data (62N02) Testing in survival analysis and censored data (62N03)

Related Items

Conditional mean and quantile dependence testing in high dimension, Estimation in quantile regression models for correlated data with diverging number of covariates and large cluster sizes

Uses Software

• gcrma
• SAM

Cites Work

• A general Bahadur representation of \(M\)-estimators and its application to linear regression with nonstochastic designs
• A Model-Based Background Adjustment for Oligonucleotide Expression Arrays
• A Direct Approach to False Discovery Rates
• Detecting Differential Expressions in GeneChip Microarray Studies
• Improved statistical tests for differential gene expression by shrinking variance components estimates