Differentially expressed heterogeneous overdispersion genes testing for count data.

ABSTRACT: The mRNA-seq data analysis is a powerful technology for inferring information from biological systems of interest. Specifically, the sequenced RNA fragments are aligned with genomic reference sequences, and we count the number of sequence fragments corresponding to each gene for each condition. A gene is identified as differentially expressed (DE) if the difference in its count numbers between conditions is statistically significant. Several statistical analysis methods have been developed to detect DE genes based on RNA-seq data. However, the existing methods could suffer decreasing power to identify DE genes arising from overdispersion and limited sample size, where overdispersion refers to the empirical phenomenon that the variance of read counts is larger than the mean of read counts.

SUBMITTER: Yuan Y 

PROVIDER: S-EPMC11253971 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature