Application of skew-normal distribution for detecting differential expression to microRNA data

DOI10.1080/02664763.2014.962490OpenAlexW2059933233MaRDI QIDQ5130164

Ahmed Hossain, Joseph Beyene

Publication date: 4 November 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2014.962490

zbMATH Keywords

statisticsskew-normal distributionfalse discovery rate\textsc{sn} R packagemicrorna expression data

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (8)

Interpoint distance tests for high-dimensional comparison studies ⋮ Joint distributional expansions of maxima and minima from skew-normal samples ⋮ Bootstrap inference on the Behrens–Fisher-type problem for the skew-normal population under dependent samples ⋮ Higher-order expansions of sample range from skew-normal distribution ⋮ Identification of genomic markers correlated with sensitivity in solid tumors to Dasatinib using sparse principal components ⋮ The exact density of the sum of independent skew normal random variables ⋮ Statistical inference for the location and scale parameters of the skew normal distribution ⋮ Robust inference for skewed data in health sciences

Uses Software

• R
• sn
• SAM
• GEST

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Skew-symmetric distributions and Fisher information -- a tale of two densities
• Bayesian inference for the skewness parameter of the scalar skew-normal distribution
• A flexible approximate likelihood ratio test for detecting differential expression in microarray data
• A Bayesian interpretation of the multivariate skew-normal distribution.
• Maximum penalized likelihood estimation for skew-normal and skew-\(t\) distributions
• Bias prevention of maximum likelihood estimates for scalar skew normal and skew \(t\) distribu\-tions
• Significance analysis of microarrays applied to the ionizing radiation response
• Selecting Differentially Expressed Genes from Microarray Experiments
• A Laplace mixture model for identification of differential expression in microarray experiments
• Cross-study validation and combined analysis of gene expression microarray data
• Statistical Applications of the Multivariate Skew Normal Distribution
• A new class of multivariate skew distributions with applications to bayesian regression models
• Graphical models for skew‐normal variates
• Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments
• Problems of inference for Azzalini's skewnormal distribution
• Empirical Bayes Analysis of a Microarray Experiment
• Bias reduction of maximum likelihood estimates
• An Improved Method on Wilcoxon Rank Sum Test for Gene Selection from Microarray Experiments
• The Skew-normal Distribution and Related Multivariate Families*
• Moments of skew-normal random vectors and their quadratic forms

This page was built for publication: Application of skew-normal distribution for detecting differential expression to microRNA data