Omics community detection using multi-resolution clustering

MOTIVATION: The discovery of biologically interpretable and clinically actionable communities in heterogeneous omics data is a necessary first step toward deriving mechanistic insights into complex biological phenomena. Here, we present a novel clustering approach, omeClust, for community detection...

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Detalles Bibliográficos
Autores principales: Rahnavard, Ali, Chatterjee, Suvo, Sayoldin, Bahar, Crandall, Keith A, Tekola-Ayele, Fasil, Mallick, Himel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545346/
https://www.ncbi.nlm.nih.gov/pubmed/33974004
http://dx.doi.org/10.1093/bioinformatics/btab317

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545346/
https://www.ncbi.nlm.nih.gov/pubmed/33974004
http://dx.doi.org/10.1093/bioinformatics/btab317

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