Gene Expression Profiles for Predicting Metastasis in Breast Cancer : A Cross-Study Comparison of Classification Methods
Joint Authors
Kruse, Torben A.
Burton, Mark
Tan, Qihua
Thomassen, Mads
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-11-28
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Medicine
Information Technology and Computer Science
Abstract EN
Machine learning has increasingly been used with microarray gene expression data and for the development of classifiers using a variety of methods.
However, method comparisons in cross-study datasets are very scarce.
This study compares the performance of seven classification methods and the effect of voting for predicting metastasis outcome in breast cancer patients, in three situations: within the same dataset or across datasets on similar or dissimilar microarray platforms.
Combining classification results from seven classifiers into one voting decision performed significantly better during internal validation as well as external validation in similar microarray platforms than the underlying classification methods.
When validating between different microarray platforms, random forest, another voting-based method, proved to be the best performing method.
We conclude that voting based classifiers provided an advantage with respect to classifying metastasis outcome in breast cancer patients.
American Psychological Association (APA)
Burton, Mark& Thomassen, Mads& Tan, Qihua& Kruse, Torben A.. 2012. Gene Expression Profiles for Predicting Metastasis in Breast Cancer : A Cross-Study Comparison of Classification Methods. The Scientific World Journal،Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-467490
Modern Language Association (MLA)
Burton, Mark…[et al.]. Gene Expression Profiles for Predicting Metastasis in Breast Cancer : A Cross-Study Comparison of Classification Methods. The Scientific World Journal No. 2012 (2012), pp.1-11.
https://search.emarefa.net/detail/BIM-467490
American Medical Association (AMA)
Burton, Mark& Thomassen, Mads& Tan, Qihua& Kruse, Torben A.. Gene Expression Profiles for Predicting Metastasis in Breast Cancer : A Cross-Study Comparison of Classification Methods. The Scientific World Journal. 2012. Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-467490
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-467490