A merged microarray meta-dataset for transcriptionally profiling colorectal neoplasm formation and progression

Michael Rohr; Jordan Beardsley; Sai Preethi Nakkina; Xiang Zhu; Jihad Aljabban; Dexter Hadley; Deborah Altomare

doi:10.1038/s41597-021-00998-5

Scientific Data (Aug 2021)

A merged microarray meta-dataset for transcriptionally profiling colorectal neoplasm formation and progression

Michael Rohr,
Jordan Beardsley,
Sai Preethi Nakkina,
Xiang Zhu,
Jihad Aljabban,
Dexter Hadley,
Deborah Altomare

Affiliations

Michael Rohr: Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida
Jordan Beardsley: Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida
Sai Preethi Nakkina: Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida
Xiang Zhu: Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida
Jihad Aljabban: Department of Medicine, University of Wisconsin Hospital and Clinics
Dexter Hadley: Department of Clinical Sciences, College of Medicine, University of Central Florida
Deborah Altomare: Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida

DOI: https://doi.org/10.1038/s41597-021-00998-5
Journal volume & issue: Vol. 8, no. 1
pp. 1 – 11

Abstract

Read online

Measurement(s) transcriptome • colorectal cancer Technology Type(s) microarray Factor Type(s) gene expression Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14589006

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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