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Identification of metagenes and their Interactions through Large …
We identified 15 metagenes, which are groups of genes with correlated expression. Functional roles of these metagenes are established by observing the enriched gene ontology (GO) …
Metagenes and molecular pattern discovery using matrix
Mar 23, 2004 · We describe here the use of nonnegative matrix factorization (NMF), an algorithm based on decomposition by parts that can reduce the dimension of expression data from …
- Author: Jean-Philippe Brunet, Pablo Tamayo, Todd R. Golub, Jill P. Mesirov
- Publish Year: 2004
- Studies of Metagenes
Identification of clinically predictive metagenes that encode ...
By integrating RNAi screening data, we identify components of the shape-gene network that regulate NF-κB in response to cell shape changes. This network was also used to generate …
Identification of transcriptional programs using dense vector ...
Jul 20, 2023 · The vectors derived from GeneVector provide a framework for identifying metagenes within a gene co-expression graph and relating these metagenes back to each cell …
Biomolecular Events in Cancer Revealed by Attractor Metagenes
Feb 21, 2013 · Using Attractor Metagenes as Proxies of Biomolecular Events. A biomolecular event, whether it is present in multiple cancer types or it is cancer specific, can be represented …
Identification of metagenes and their Interactions through Large …
Jun 13, 2012 · We identified 15 metagenes, which are groups of genes with correlated expression. Functional roles of these metagenes are established by observing the enriched …
We describe here the use of nonnegative matrix factorization (NMF), an algorithm based on decomposition by parts that can reduce the dimension of expression data from thousands of …
Dual roles for immune metagenes in breast cancer prognosis and …
Oct 28, 2014 · Through expression microarray analysis, we recently discovered three immune gene signatures, or metagenes, that appear to reflect the relative abundance of distinct tumor …
Metagenes and molecular pattern discovery using matrix …
We describe here the use of nonnegative matrix factorization (NMF), an algorithm based on decomposition by parts that can reduce the dimension of expression data from thousands of …