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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Detalles Bibliográficos
Autores principales: Roy, Sujoy, Yun, Daqing, Madahian, Behrouz, Berry, Michael W., Deng, Lih-Yuan, Goldowitz, Daniel, Homayouni, Ramin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5581332/
https://www.ncbi.nlm.nih.gov/pubmed/28894735
http://dx.doi.org/10.3389/fbioe.2017.00048

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5581332/
https://www.ncbi.nlm.nih.gov/pubmed/28894735
http://dx.doi.org/10.3389/fbioe.2017.00048

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