Back to search

Article

Time series-free rhythm profiling using COFE reveals multi-omic circadian rhythms in in-vivo human cancers

2024-03-15

Abstract excerpt

The study of the ubiquitous circadian rhythms in human physiology typically requires regular measurements across time. Repeated sampling of the different internal tissues that house circadian clocks is both practically and ethically infeasible. Here, we present a novel unsupervised machine learning approach (COFE) that can use single high-throughput (omics) samples from individuals to reconstruct circadian rhythms...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
a0052532-c915-56d2-997f-ae56a8d92698
DOI
10.1101/2024.03.13.584582
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Time series-free rhythm profiling using COFE reveals multi-omic circadian rhythms in in-vivo human cancersDOI 10.1101/2024.03.13.584582
Select a neighboring publication to make it the new centre.