A Robust Manifold Graph Regularized Nonnegative Matrix Factorization Algorithm for Cancer Gene Clustering

A Robust Manifold Graph Regularized Nonnegative Matrix Factorization Algorithm for Cancer Gene Clustering

Detecting genomes with similar expression patterns using clustering techniques plays an important role in gene expression data analysis. Non-negative matrix factorization (NMF) is an effective method for clustering the analysis of gene expression data. However, the NMF-based method is performed with...

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Bibliographic Details
Main Authors: Rong Zhu, Jin-Xing Liu, Yuan-Ke Zhang, Ying Guo
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Molecules
Subjects:
robust
manifold
matrix factorization
gene clustering
Online Access:https://www.mdpi.com/1420-3049/22/12/2131

Internet

https://www.mdpi.com/1420-3049/22/12/2131

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