Merged Affinity Network Association Clustering: Joint multi-omic/clinical clustering to identify disease endotypes

Merged Affinity Network Association Clustering: Joint multi-omic/clinical clustering to identify disease endotypes

Summary: Although clinical and laboratory data have long been used to guide medical practice, this information is rarely integrated with multi-omic data to identify endotypes. We present Merged Affinity Network Association Clustering (MANAclust), a coding-free, automated pipeline enabling integratio...

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Bibliographic Details
Main Authors: Scott R. Tyler, Yoojin Chun, Victoria M. Ribeiro, Galina Grishina, Alexander Grishin, Gabriel E. Hoffman, Anh N. Do, Supinda Bunyavanich
Format: Article
Language:English
Published: Elsevier 2021-04-01
Series:Cell Reports
Subjects:
bioinformatics
systems biology
multi-omics
clustering
feature selection
data integration
Online Access:http://www.sciencedirect.com/science/article/pii/S2211124721002898

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http://www.sciencedirect.com/science/article/pii/S2211124721002898

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