Work

Cell Fate Forecasting: A Data Assimilation Approach to Predict Epithelial-Mesenchymal Transition

Year: 2020

Type: article

Source: Biophysical Journal

DOI: 10.1016/j.bpj.2019.11.1890

Authors: Mario J. Mendez, Matthew J. Hoffman, Elizabeth M. Cherry, Christopher A. Lemmon, Seth H. Weinberg

Institutions: Virginia Commonwealth University, Rochester Institute of Technology, The Ohio State University

Language: English

Topic: Gene Regulatory Network Analysis

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: bronze

Funders: National Science Foundation, National Institutes of Health, National Institute of General Medical Sciences

Awards: Mechanochemical Signaling Dynamics in Epithelial-Mesenchymal Transition, Collaborative Research: Developing a Quantitative Three-Dimensional Understanding of Cardiac Arrhythmias

OpenAlex ID: W4245928091

FWCI:

Cites: 39

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Related to: 10