NeTFactor, a framework for identifying transcriptional regulators of gene expression-based biomarkers

Biological and regulatory mechanisms underlying many multi-gene expression-based disease biomarkers are often not readily evident. We describe an innovative framework, NeTFactor, that combines network analyses with gene expression data to identify transcription factors (TFs) that significantly and m...

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Detalles Bibliográficos
Autores principales: Ahsen, Mehmet Eren, Chun, Yoojin, Grishin, Alexander, Grishina, Galina, Stolovitzky, Gustavo, Pandey, Gaurav, Bunyavanich, Supinda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6737052/
https://www.ncbi.nlm.nih.gov/pubmed/31506535
http://dx.doi.org/10.1038/s41598-019-49498-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6737052/
https://www.ncbi.nlm.nih.gov/pubmed/31506535
http://dx.doi.org/10.1038/s41598-019-49498-y

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