TimeTeller: A tool to probe the circadian clock as a multigene dynamical system.

ABSTRACT: Recent studies have established that the circadian clock influences onset, progression and therapeutic outcomes in a number of diseases including cancer and heart diseases. Therefore, there is a need for tools to measure the functional state of the molecular circadian clock and its downstream targets in patients. Moreover, the clock is a multi-dimensional stochastic oscillator and there are few tools for analysing it as a noisy multigene dynamical system. In this paper we consider the methodology behind TimeTeller, a machine learning tool that analyses the clock as a noisy multigene dynamical system and aims to estimate circadian clock function from a single transcriptome by modelling the multi-dimensional state of the clock. We demonstrate its potential for clock systems assessment by app

SUBMITTER: Vlachou D 

PROVIDER: S-EPMC10931517 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature