Back to search

Article

Supervised machine learning with feature selection for prioritization of targets related to time-based cellular dysfunction in aging

2022-06-28

Abstract excerpt

<h4>Background</h4> Global life expectancy has been increasing without a corresponding increase in health span and with greater risk for aging-associated diseases such as Alzheimer’s disease (AD). An urgent need to delay the onset of aging-associated diseases has arisen and a dramatic increase in the number of potential molecular targets has led to the challenge of prioritizing targets to promote successful aging...

Topics

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

Identifiers and source

Literature Corpus work
bf7e82e2-c048-57f7-a9ae-3b2b629f2f37
DOI
10.1101/2022.06.24.497511
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.
Supervised machine learning with feature selection for prioritization of targets related to time-based cellular dysfunction in agingDOI 10.1101/2022.06.24.497511
Select a neighboring publication to make it the new centre.