Skip navigation
Skip navigation

Stratification bias in low signal microarray studies

Parker, Brian; Guenter, Simon; Bedo, Justin


BACKGROUND: When analysing microarray and other small sample size biological datasets, care is needed to avoid various biases. We analyse a form of bias, stratification bias, that can substantially affect analyses using sample-reuse validation techniques and lead to inaccurate results. This bias is due to imperfect stratification of samples in the training and test sets and the dependency between these stratification errors, i.e. the variations in class proportions in the training and test...[Show more]

CollectionsANU Research Publications
Date published: 2007-09-02
Type: Journal article
Source: BMC Bioinformatics
DOI: 10.1186/1471-2105-8-326


File Description SizeFormat Image
Parker_Stratification2007.pdf574.23 kBAdobe PDFThumbnail

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  20 July 2017/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator