Skip navigation
Skip navigation

Selection bias in plots of microarray or other data that have been sampled from a high-dimensional space

Maindonald, John; Burden, Conrad


For data that have many more features than observations, finding a low-dimensional representation that accurately reflects known prior groupings is non-trivial. Microarray gene expression data, used to create a "signature" or discrimination rule that distinguishes cancer tissues that are classified according to type of cancer, is an important special case. The optimal number of features is suitably determined using cross-validation, in which each of several parts of the data becomes in turn the...[Show more]

CollectionsANU Research Publications
Date published: 2005
Type: Journal article
Source: ANZIAM Journal


File Description SizeFormat Image
01_Maindonald_Selection_bias_in_plots_of_2005.pdf312.28 kBAdobe PDF    Request a copy

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

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator