Multi-omic integration via similarity network fusion to detect molecular subtypes of ageing

Yang, M., Matan-Lithwick, S., Wang, Y., De Jager, P. L., Bennett, D. A., & Felsky, D. (2023). Multi-omic integration via similarity network fusion to detect molecular subtypes of ageing. Brain Communications, 5(2). https://doi.org/10.1093/braincomms/fcad110
Authors:
Mu Yang
Stuart Matan-Lithwick
Yanling Wang
Philip L De Jager
David A Bennett
Daniel Felsky
Affiliated Authors:
Philip L De Jager
Columbia Affiliation:
Subjects:
Analysis of Gene Interaction Networks (OpenAlex Topic)
Microarray Data Analysis and Gene Expression Profiling (OpenAlex Topic)
Advances in Metabolomics Research (OpenAlex Topic)
Author Keywords:
alzheimer’s disease
clustering analysis
cognitive ageing
molecular subtyping
multi-omic integration
elink
Publication Type:
Article
Unique ID:
10.1093/braincomms/fcad110
PMID:
37082508
DOI:
10.1093/braincomms/fcad110
Journal:
Brain Communications
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
View OpenAlex Record

Record Created: