Add to ORKGA non-negative matrix factorization framework for identifying modular patterns in metagenomic profile dat
One challenge in microarray analysis is to discover and capture valuable knowledge to understand bio...
Nonnegative Matrix Factorization (NMF) is a class of low-rank dimensionality reduction methods whic...
jNMFMA: a joint non-negative matrix factorization meta-analysis of transcriptomics dat
Non-negative matrix factorization (NMF) is a relatively new approach to analyze gene expression data...
The multi-modal or multi-view integration of data has generated a wide range of applicability in pat...
This edited book collects new results, concepts and further developments of NMF. The open problems d...
<p>The increasing availability of high-throughput biological data, especially multi-dimensional geno...
Abstract: In the last decade, advances in high-through-put technologies such as DNA microarrays have...
The increasing availability of high-throughput biological data, especially multi-dimensional genomic...
This book collects new results, concepts and further developments of NMF. The open problems discusse...
<p>The increasing availability of high-throughput biological data, especially multi-dimensional geno...
9 pages, 4 figures.[Background] In the Bioinformatics field, a great deal of interest has been given...
ABSTRACT Over the past few years, there has been a considerable spread of microarray technology in ...
Nonnegative Matrix Factorization (NMF) is a class of low-rank dimensionality reduction methods whic...
Inferential, robust non-negative matrix factorization analysis of microarray dat
One challenge in microarray analysis is to discover and capture valuable knowledge to understand bio...
Nonnegative Matrix Factorization (NMF) is a class of low-rank dimensionality reduction methods whic...
jNMFMA: a joint non-negative matrix factorization meta-analysis of transcriptomics dat
Non-negative matrix factorization (NMF) is a relatively new approach to analyze gene expression data...
The multi-modal or multi-view integration of data has generated a wide range of applicability in pat...
This edited book collects new results, concepts and further developments of NMF. The open problems d...
<p>The increasing availability of high-throughput biological data, especially multi-dimensional geno...
Abstract: In the last decade, advances in high-through-put technologies such as DNA microarrays have...
The increasing availability of high-throughput biological data, especially multi-dimensional genomic...
This book collects new results, concepts and further developments of NMF. The open problems discusse...
<p>The increasing availability of high-throughput biological data, especially multi-dimensional geno...
9 pages, 4 figures.[Background] In the Bioinformatics field, a great deal of interest has been given...
ABSTRACT Over the past few years, there has been a considerable spread of microarray technology in ...
Nonnegative Matrix Factorization (NMF) is a class of low-rank dimensionality reduction methods whic...
Inferential, robust non-negative matrix factorization analysis of microarray dat
One challenge in microarray analysis is to discover and capture valuable knowledge to understand bio...
Nonnegative Matrix Factorization (NMF) is a class of low-rank dimensionality reduction methods whic...
jNMFMA: a joint non-negative matrix factorization meta-analysis of transcriptomics dat