A merged microarray meta-dataset for transcriptionally profiling colorectal neoplasm formation and progression
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
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
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Nature Portfolio
2021-08-01
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Series: | Scientific Data |
Online Access: | https://doi.org/10.1038/s41597-021-00998-5 |
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author | Michael Rohr Jordan Beardsley Sai Preethi Nakkina Xiang Zhu Jihad Aljabban Dexter Hadley Deborah Altomare |
author_facet | Michael Rohr Jordan Beardsley Sai Preethi Nakkina Xiang Zhu Jihad Aljabban Dexter Hadley Deborah Altomare |
author_sort | Michael Rohr |
collection | DOAJ |
description | 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 |
first_indexed | 2024-12-14T13:27:15Z |
format | Article |
id | doaj.art-d42d02dd9b274047809c0a8c1086a061 |
institution | Directory Open Access Journal |
issn | 2052-4463 |
language | English |
last_indexed | 2024-12-14T13:27:15Z |
publishDate | 2021-08-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Scientific Data |
spelling | doaj.art-d42d02dd9b274047809c0a8c1086a0612022-12-21T22:59:49ZengNature PortfolioScientific Data2052-44632021-08-018111110.1038/s41597-021-00998-5A merged microarray meta-dataset for transcriptionally profiling colorectal neoplasm formation and progressionMichael Rohr0Jordan Beardsley1Sai Preethi Nakkina2Xiang Zhu3Jihad Aljabban4Dexter Hadley5Deborah Altomare6Burnett School of Biomedical Sciences, College of Medicine, University of Central FloridaBurnett School of Biomedical Sciences, College of Medicine, University of Central FloridaBurnett School of Biomedical Sciences, College of Medicine, University of Central FloridaBurnett School of Biomedical Sciences, College of Medicine, University of Central FloridaDepartment of Medicine, University of Wisconsin Hospital and ClinicsDepartment of Clinical Sciences, College of Medicine, University of Central FloridaBurnett School of Biomedical Sciences, College of Medicine, University of Central FloridaMeasurement(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.14589006https://doi.org/10.1038/s41597-021-00998-5 |
spellingShingle | Michael Rohr Jordan Beardsley Sai Preethi Nakkina Xiang Zhu Jihad Aljabban Dexter Hadley Deborah Altomare A merged microarray meta-dataset for transcriptionally profiling colorectal neoplasm formation and progression Scientific Data |
title | A merged microarray meta-dataset for transcriptionally profiling colorectal neoplasm formation and progression |
title_full | A merged microarray meta-dataset for transcriptionally profiling colorectal neoplasm formation and progression |
title_fullStr | A merged microarray meta-dataset for transcriptionally profiling colorectal neoplasm formation and progression |
title_full_unstemmed | A merged microarray meta-dataset for transcriptionally profiling colorectal neoplasm formation and progression |
title_short | A merged microarray meta-dataset for transcriptionally profiling colorectal neoplasm formation and progression |
title_sort | merged microarray meta dataset for transcriptionally profiling colorectal neoplasm formation and progression |
url | https://doi.org/10.1038/s41597-021-00998-5 |
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