Back to search

Article

Morse-clustering of a Topological Data Analysis Network Identifies Phenotypes of Asthma Based on Blood Gene Expression Profiles

2019-01-09

Abstract excerpt

Stratified medicine requires discretisation of disease populations for targeted treatments. We have developed and applied a discrete Morse theory clustering algorithm to a Topological Data Analysis (TDA) network model of 498 gene expression profiles of peripheral blood from asthma and healthy participants. The Morse clustering algorithm defined nine clusters, BC1-9, representing molecular phenotypes with discrete...

Topics

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

Identifiers and source

Literature Corpus work
fb8f3bd0-1813-5082-a741-a1fe3867b858
DOI
10.1101/516328
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.
Morse-clustering of a Topological Data Analysis Network Identifies Phenotypes of Asthma Based on Blood Gene Expression ProfilesDOI 10.1101/516328
Select a neighboring publication to make it the new centre.