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

A current challenge in systems biology is to predict dynamic properties of cell behaviors from public information such as gene expression data. The temporal dynamics of signaling molecules is critical for mammalian cell commitment. We hypothesized that gene expression levels are tightly linked with...

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Bibliographic Details
Main Authors: Hiroaki Imoto, Suxiang Zhang, Mariko Okada
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/12/10/2878

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