Negative Binomial mixed models estimated with the maximum likelihood method can be used for longitudinal RNAseq data.

ABSTRACT: Time-course RNAseq experiments, where tissues are repeatedly collected from the same subjects, e.g. humans or animals over time or under several different experimental conditions, are becoming more popular due to the reducing sequencing costs. Such designs offer the great potential to identify genes that change over time or progress differently in time across experimental groups. Modelling of the longitudinal gene expression in such time-course RNAseq data is complicated by the serial correlations, missing values due to subject dropout or sequencing errors, long follow up with potentially non-linear progression in time and low number of subjects. Negative Binomial mixed models can address all these issues. However, such models under the maximum likelihood (ML) approach are less popular for

SUBMITTER: Tsonaka R 

PROVIDER: S-EPMC8293834 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature