TimeCycle: topology inspired method for the detection of cycling transcripts in circadian time-series data.

ABSTRACT:

Motivation

The circadian rhythm drives the oscillatory expression of thousands of genes across all tissues. The recent revolution in high-throughput transcriptomics, coupled with the significant implications of the circadian clock for human health, has sparked an interest in circadian profiling studies to discover genes under circadian control.

Result

We present TimeCycle: a topology-based rhythm detection method designed to identify cycling transcripts. For a given time-series, the method reconstructs the state space using time-delay embedding, a data transformation technique from dynamical systems theory. In the embedded space, Takens' theorem proves that the dynamics of a rhythmic signal will exhibit circular patterns. The degree of circularity of the embedding is calcula

SUBMITTER: Ness-Cohn E 

PROVIDER: S-EPMC8652031 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature