TY  - JOUR
A1  - Karn, Thomas
A1  - Rody, Achim
A1  - Müller, Volkmar
A1  - Schmidt, Marcus
A1  - Becker, Sven
A1  - Holtrich, Uwe
A1  - Pusztai, Lajos
T1  - Control of dataset bias in combined affymetrix cohorts of triple negative breast cancer
T2  - Genomics data
N2  - 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.
KW  - Dataset bias
KW  - Breast cancer
KW  - Gene expression
KW  - Microarray
KW  - Pooling
Y1  - 2017
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/44205
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-442051
SN  - 2213-5960
N1  - © 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/).
VL  - 2
SP  - 354
EP  - 356
PB  - Elsevier
CY  - Amsterdam [u. a.]
ER  -