Control of dataset bias in combined affymetrix cohorts of triple negative breast cancer
- Heterogenous subtypes of breast cancer need to be analyzed separately. Pooling of datasets can provide reasonable sample sizes but dataset bias is an important concern. We assembled a combined dataset of 579 Affymetrix microarrays from triple negative breast cancer (TNBC) in Gene Expression Omnibus (GEO) series GSE31519. We developed a method for selecting comparable datasets and to control for the amount of dataset bias of individual probesets.
Download full text files
Additional Services
| Author: | Thomas Karn, Achim Rody, Volkmar MüllerORCiDGND, Marcus Schmidt, Sven BeckerORCiDGND, Uwe Holtrich, Lajos Pusztai |
|---|---|
| URN: | urn:nbn:de:hebis:30:3-442051 |
| DOI: | https://doi.org/10.1016/j.gdata.2014.09.014 |
| ISSN: | 2213-5960 |
| Pubmed Id: | https://pubmed.ncbi.nlm.nih.gov/26484129 |
| Parent Title (English): | Genomics data |
| Publisher: | Elsevier |
| Place of publication: | Amsterdam [u. a.] |
| Document Type: | Article |
| Language: | English |
| Date of Publication (online): | 2017/06/12 |
| Year of first Publication: | 2014 |
| Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
| Release Date: | 2017/06/12 |
| Tag: | Breast cancer; Dataset bias; Gene expression; Microarray; Pooling |
| Volume: | 2 |
| Page Number: | 3 |
| First Page: | 354 |
| Last Page: | 356 |
| Note: | © 2014 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). |
| HeBIS-PPN: | 428607896 |
| Institutes: | Medizin / Medizin |
| Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
| Sammlungen: | Universitätspublikationen |
| Licence (German): |  Creative Commons - Namensnennung-Nicht kommerziell-Keine Bearbeitung 3.0 |
