Navigating the Functional Landscape of Transcription Factors via Non-Negative Tensor Factorization Analysis of MEDLINE Abstracts

In this study, we developed and evaluated a novel text-mining approach, using non-negative tensor factorization (NTF), to simultaneously extract and functionally annotate transcriptional modules consisting of sets of genes, transcription factors (TFs), and terms from MEDLINE abstracts. A sparse 3-mo...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Sujoy Roy, Daqing Yun, Behrouz Madahian, Michael W. Berry, Lih-Yuan Deng, Daniel Goldowitz, Ramin Homayouni
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2017-08-01
Schriftenreihe:	Frontiers in Bioengineering and Biotechnology
Schlagworte:	biomedical text mining tensor factorization tensor decomposition multiway analysis applied multilinear algebra transcription factors
Online-Zugang:	http://journal.frontiersin.org/article/10.3389/fbioe.2017.00048/full
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