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

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...

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Bibliographic Details
Main Authors: Sujoy Roy, Daqing Yun, Behrouz Madahian, Michael W. Berry, Lih-Yuan Deng, Daniel Goldowitz, Ramin Homayouni
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-08-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
biomedical text mining
tensor factorization
tensor decomposition
multiway analysis
applied multilinear algebra
transcription factors
Online Access:http://journal.frontiersin.org/article/10.3389/fbioe.2017.00048/full

Internet

http://journal.frontiersin.org/article/10.3389/fbioe.2017.00048/full

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