A combined approach with gene-wise normalization improves the analysis of RNA-seq data in human breast cancer subtypes

• Xiaohong Li ,

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

  * E-mail: x0li0013@louisville.edu

  Affiliation Department of Anatomical Sciences and Neurobiology, University of Louisville, Louisville, KY, United States of America

  http://orcid.org/0000-0001-8345-9164

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• Eric C. Rouchka,

  Roles Methodology, Resources, Writing – review & editing

  Affiliation Department of Computer Engineering and Computer Science, University of Louisville, Louisville, KY, United States of America

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• Guy N. Brock,

  Roles Methodology, Writing – review & editing

  Affiliation Department of Biomedical Informatics, Ohio State University, Columbus, OH, United States of America

  http://orcid.org/0000-0001-5317-079X

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• Jun Yan,

  Roles Writing – review & editing

  Affiliation Department of Medicine, James Graham Brown Cancer Center, University of Louisville, Louisville, KY, United States of America

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• Timothy E. O’Toole,

  Roles Writing – review & editing

  Affiliation Department of Cardiology, University of Louisville, Louisville, KY, United States of America

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• David A. Tieri,

  Roles Data curation

  Affiliation Department of Anatomical Sciences and Neurobiology, University of Louisville, Louisville, KY, United States of America

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• Nigel G. F. Cooper

  Roles Funding acquisition, Resources, Supervision, Writing – review & editing

  Affiliation Department of Anatomical Sciences and Neurobiology, University of Louisville, Louisville, KY, United States of America

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