Nonnegative matrix factorization-based bioinformatics analysis reveals that TPX2 and SELENBP1 are two predictors of the inner sub-consensuses of lung adenocarcinoma. [PDF]
Wang H, Wang X, Xu L, Cao H, Zhang J.
europepmc +1 more source
NONNEGATIVE MATRIX FACTORIZATION
The purpose of this project was to study the nonnegative matrix factorization (NNMF) problem: Given a nonnegative matrix V, find the” best” nonnegative matrices W and H, such that V WH.
Humpherys, Dr. Jeffrey +1 more
core
Nonnegative Matrix Factorization Problem
The Nonnegative Matrix Factorization (NMF) problem has been widely used to analyze high-dimensional nonnegative data and extract important features. In this paper, I review major concepts regarding NMF, some NMF algorithms and related problems including ...
An, Junda
core
Unsupervised phenotyping of sepsis using nonnegative matrix factorization of temporal trends from a multivariate panel of physiological measurements. [PDF]
Ding M, Luo Y.
europepmc +1 more source
Efficient hybrid algorithm for nonnegative matrix factorization based on modified nonmonotone linear search. [PDF]
Wu J, Li W, Su L, Wang H, Li Y.
europepmc +1 more source
Topology constrained nonnegative matrix factorization for time varying omic expression. [PDF]
Dey A +3 more
europepmc +1 more source
Recovering missing features in nonnegative matrix factorization via generalized singular value decomposition. [PDF]
Guo Y, Holy TE.
europepmc +1 more source
Neighborhood nonnegative matrix factorization identifies patterns and spatially-variable genes in large-scale spatial transcriptomics data. [PDF]
Laursen R +4 more
europepmc +1 more source
Joint similarity nonnegative matrix factorization model for identification of recurrence-related association patterns in tumor. [PDF]
Deng J +7 more
europepmc +1 more source
Assessment of nonnegative matrix factorization algorithms for electroencephalography spectral analysis. [PDF]
Hu G +6 more
europepmc +1 more source

