Microbiome Data Analysis by Symmetric Non-negative Matrix Factorization With Local and Global Regularization

Microbiome Data Analysis by Symmetric Non-negative Matrix Factorization With Local and Global Regularization

A network is an efficient tool to organize complicated data. The Laplacian graph has attracted more and more attention for its good properties and has been applied to many tasks including clustering, feature selection, and so on. Recently, studies have indicated that though the Laplacian graph can c...

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Bibliographic Details
Main Authors: Junmin Zhao, Yuanyuan Ma, Lifang Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Molecular Biosciences
Subjects:
matrix factorization
Laplacian regularization
Vicus graph
microbiome
local structure
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2021.643014/full

Internet

https://www.frontiersin.org/articles/10.3389/fmolb.2021.643014/full

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