Back to search

Article

Screening Predictors of Weight Loss: An Integromics Approach

2020-07-10

Abstract excerpt

Obesity has reached epidemic proportions in the United States but little is known about the mechanisms of weight gain and weight loss. Integration of “omics” data is becoming a popular tool to increase understanding in such complex phenotypes. Biomarkers come in abundance from high-throughput experiments, but small sample size is still is a serious limitation in clinical trials. It makes assessment of more realist...

Topics

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

Identifiers and source

Literature Corpus work
3dd867c6-a461-58db-b7cb-bd49798f205d
DOI
10.1101/2020.07.06.188284
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.
Screening Predictors of Weight Loss: An Integromics ApproachDOI 10.1101/2020.07.06.188284
Select a neighboring publication to make it the new centre.