Control of dataset bias in combined Affymetrix cohorts of triple negative breast cancer

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...

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Bibliographic Details
Main Authors: Thomas Karn, Achim Rody, Volkmar Müller, Marcus Schmidt, Sven Becker, Uwe Holtrich, Lajos Pusztai
Format: Article
Language:English
Published: Elsevier 2014-12-01
Series:Genomics Data
Subjects:
Dataset bias
Breast cancer
Gene expression
Microarray
Pooling
Online Access:http://www.sciencedirect.com/science/article/pii/S2213596014001019

Internet

http://www.sciencedirect.com/science/article/pii/S2213596014001019

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