Morse-clustering of a Topological Data Analysis Network Identifies Phenotypes of Asthma Based on Blood Gene Expression Profiles
James P R Schofield, Fabio Strazzeri, Jeannette Bigler, Michael Boedigheimer, Ian M Adcock, Kian Fan Chung, Aruna Bansal, Richard G. Knowles, Sven-Erik Dahlen, Craig E. Wheelock, Kai Sun, Ioannis Pandis, John Riley, Charles Auffray, Bertrand De Meulder, , Paul J Skipp
The paper uses a discrete Morse theory clustering algorithm on a TDA network of gene expression data to identify nine molecular phenotypes associated with asthma and glucocorticoid receptor signaling differences.
bioRxiv · Jun 22, 2020 · PreprintMolecular Biology