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Bioinformatic approaches to augment study of epithelial-to-mesenchymal transition in lung cancer
Journal article   Open access   Peer reviewed

Bioinformatic approaches to augment study of epithelial-to-mesenchymal transition in lung cancer

Tim N Beck, Adaeze J Chikwem, Nehal R Solanki and Erica A Golemis
Physiological genomics, v 46(19), pp 699-724
01 Oct 2014
PMCID: PMC4187119
PMID: 25096367
url
https://doi.org/10.1152/physiolgenomics.00062.2014View
Published, Version of Record (VoR)Open Access (License Unspecified) Open

Abstract

Adaptor Proteins, Signal Transducing - genetics beta Catenin - genetics Cadherins - genetics Computational Biology - methods Computational Biology - trends Epithelial-Mesenchymal Transition - physiology Gene Expression Regulation, Neoplastic - genetics Gene Expression Regulation, Neoplastic - physiology Humans Lung Neoplasms - physiopathology Models, Biological Phosphoproteins - genetics Signal Transduction - genetics Signal Transduction - physiology Transforming Growth Factor beta1 - genetics

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26 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

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Collaboration types
Domestic collaboration
Web of Science research areas
Cell Biology
Genetics & Heredity
Physiology
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