Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differences

• Published in: Bioinformatics (Oxford, England) Vol. 35; no. 12; pp. 2084 - 2092
• Main Authors: Zhu, Anqi, Ibrahim, Joseph G, Love, Michael I
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 01.06.2019
• Subjects: bioinformatics; computer software; data collection; gene expression regulation; linear models; Original Papers; sequence analysis; shrinkage; statistical inference; variance

In RNA-seq differential expression analysis, investigators aim to detect those genes with changes in expression level across conditions, despite technical and biological variability in the observations. A common task is to accurately estimate the effect size, often in terms of a logarithmic fold cha...