A Computational Framework for Prediction and Analysis of Cancer Signaling Dynamics from RNA Sequencing Data—Application to the ErbB Receptor Signaling Pathway

SIMPLE SUMMARY: Temporal signaling dynamics are important for controlling the fate decisions of mammalian cells. In this study, we developed BioMASS, a computational platform for prediction and analysis of signaling dynamics using RNA-sequencing gene expression data. We first constructed a detailed...

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Detalles Bibliográficos
Autores principales: Imoto, Hiroaki, Zhang, Suxiang, Okada, Mariko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7650612/
https://www.ncbi.nlm.nih.gov/pubmed/33036375
http://dx.doi.org/10.3390/cancers12102878

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7650612/
https://www.ncbi.nlm.nih.gov/pubmed/33036375
http://dx.doi.org/10.3390/cancers12102878

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