Impulse model-based differential expression analysis of time course sequencing data.

ABSTRACT: Temporal changes to the concentration of molecular species such as mRNA, which take place in response to various environmental cues, can often be modeled as simple continuous functions such as a single pulse (impulse) model. The simplicity of such functional representations can provide an improved performance on fundamental tasks such as noise reduction, imputation and differential expression analysis. However, temporal gene expression profiles are often studied with models that treat time as a categorical variable, neglecting the dependence between time points. Here, we present ImpulseDE2, a framework for differential expression analysis that combines the power of the impulse model as a continuous representation of temporal responses along with a noise model tailored specifically to seque

SUBMITTER: Fischer DS 

PROVIDER: S-EPMC6237758 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature