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Open Access

Peer-reviewed

Research Article

A graph-based algorithm for RNA-seq data normalization

Diem-Trang Tran ,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Writing – original draft, Writing – review & editing

* E-mail: dtrang.tran@utah.edu

Affiliation School of Computing, University of Utah, Salt Lake City, Utah, United States of America

http://orcid.org/0000-0002-4219-2990

⨯
Aditya Bhaskara,

Roles Methodology, Validation, Writing – review & editing

Affiliation School of Computing, University of Utah, Salt Lake City, Utah, United States of America
⨯
Balagurunathan Kuberan,

Roles Funding acquisition

Affiliations Department of Medicinal Chemistry, University of Utah, Salt Lake City, Utah, United States of America, Department of Biology, University of Utah, Salt Lake City, Utah, United States of America
⨯
Matthew Might

Roles Funding acquisition, Supervision, Validation

Affiliation Hugh Kaul Precision Medicine Institute, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
⨯

A graph-based algorithm for RNA-seq data normalization

Diem-Trang Tran,
Aditya Bhaskara,
Balagurunathan Kuberan,
Matthew Might

x

Published: January 24, 2020
https://doi.org/10.1371/journal.pone.0227760
See the preprint

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Gene expression
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Clustering algorithms
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RNA sequencing
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Signal transduction
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Transcriptome analysis
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Gene pool
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Sequence alignment
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