Quantitative estimates of the regulatory influence of long non-coding RNAs on global gene expression variation using TCGA breast cancer transcriptomic data

Xiaoman Xie; Saurabh Sinha

doi:10.1371/journal.pcbi.1012103

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Open Access

Peer-reviewed

Research Article

Quantitative estimates of the regulatory influence of long non-coding RNAs on global gene expression variation using TCGA breast cancer transcriptomic data

Xiaoman Xie,

Roles Data curation, Formal analysis, Methodology, Validation, Visualization, Writing – original draft

Affiliation Center for Biophysics and Quantitative Biology, University of Illinois Urbana-Champaign, Urbana, Illinois, United States of America

https://orcid.org/0000-0001-5476-8654

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Saurabh Sinha

Roles Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Writing – review & editing

* E-mail: saurabh.sinha@bme.gatech.edu

Affiliations Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University, Georgia Institute of Technology, Atlanta, Georgia, United States of America, H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America
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Quantitative estimates of the regulatory influence of long non-coding RNAs on global gene expression variation using TCGA breast cancer transcriptomic data

Xiaoman Xie,
Saurabh Sinha

Published: June 5, 2024
https://doi.org/10.1371/journal.pcbi.1012103

About the Authors

Xiaoman Xie

Roles Data curation, Formal analysis, Methodology, Validation, Visualization, Writing – original draft

Affiliation Center for Biophysics and Quantitative Biology, University of Illinois Urbana-Champaign, Urbana, Illinois, United States of America

https://orcid.org/0000-0001-5476-8654

Saurabh Sinha

Roles Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Writing – review & editing

* E-mail: saurabh.sinha@bme.gatech.edu

Affiliations Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University, Georgia Institute of Technology, Atlanta, Georgia, United States of America, H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America

Competing Interests

The authors have declared that no competing interests exist.

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Long non-coding RNA
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Gene expression
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Gene regulation
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Regulator genes
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Breast cancer
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Gene regulatory networks
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RNA-binding proteins
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Messenger RNA
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