Improving Gene Regulatory Network Inference by Incorporating Rates of Transcriptional Changes

Organisms respond to changes in their environment through transcriptional regulatory networks (TRNs). The regulatory hierarchy of these networks can be inferred from expression data. Computational approaches to identify TRNs can be applied in any species where quality RNA can be acquired, However, C...

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Detalles Bibliográficos
Autores principales: Desai, Jigar S., Sartor, Ryan C., Lawas, Lovely Mae, Jagadish, S. V. Krishna, Doherty, Colleen J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5722905/
https://www.ncbi.nlm.nih.gov/pubmed/29222512
http://dx.doi.org/10.1038/s41598-017-17143-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5722905/
https://www.ncbi.nlm.nih.gov/pubmed/29222512
http://dx.doi.org/10.1038/s41598-017-17143-1

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