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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...
Autores principales: | Imoto, Hiroaki, Zhang, Suxiang, Okada, Mariko |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
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 |
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