Uncovering cancer gene regulation by accurate regulatory network inference from uninformative data

The interactions among the components of a living cell that constitute the gene regulatory network (GRN) can be inferred from perturbation-based gene expression data. Such networks are useful for providing mechanistic insights of a biological system. In order to explore the feasibility and quality o...

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Detalles Bibliográficos
Autores principales: Seçilmiş, Deniz, Hillerton, Thomas, Morgan, Daniel, Tjärnberg, Andreas, Nelander, Sven, Nordling, Torbjörn E. M., Sonnhammer, Erik L. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652823/
https://www.ncbi.nlm.nih.gov/pubmed/33168813
http://dx.doi.org/10.1038/s41540-020-00154-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652823/
https://www.ncbi.nlm.nih.gov/pubmed/33168813
http://dx.doi.org/10.1038/s41540-020-00154-6

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