A Combinatory Approach for Selecting Prognostic Genes in Microarray Studies of Tumour Survivals
Joint Authors
Kruse, Torben A.
Tan, Qihua
Jochumsen, Kirsten M.
Mogensen, Ole
Thomassen, Mads
Christensen, Kaare
Source
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-07-30
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Biology
Abstract EN
Different from significant gene expression analysis which looks for genes that are differentially regulated, feature selection in the microarray-based prognostic gene expression analysis aims at finding a subset of marker genes that are not only differentially expressed but also informative for prediction.
Unfortunately feature selection in literature of microarray study is predominated by the simple heuristic univariate gene filter paradigm that selects differentially expressed genes according to their statistical significances.
We introduce a combinatory feature selection strategy that integrates differential gene expression analysis with the Gram-Schmidt process to identify prognostic genes that are both statistically significant and highly informative for predicting tumour survival outcomes.
Empirical application to leukemia and ovarian cancer survival data through-within- and cross-study validations shows that the feature space can be largely reduced while achieving improved testing performances.
American Psychological Association (APA)
Tan, Qihua& Thomassen, Mads& Jochumsen, Kirsten M.& Mogensen, Ole& Christensen, Kaare& Kruse, Torben A.. 2009. A Combinatory Approach for Selecting Prognostic Genes in Microarray Studies of Tumour Survivals. Advances in Bioinformatics،Vol. 2009, no. 2009, pp.1-7.
https://search.emarefa.net/detail/BIM-474895
Modern Language Association (MLA)
Tan, Qihua…[et al.]. A Combinatory Approach for Selecting Prognostic Genes in Microarray Studies of Tumour Survivals. Advances in Bioinformatics No. 2009 (2009), pp.1-7.
https://search.emarefa.net/detail/BIM-474895
American Medical Association (AMA)
Tan, Qihua& Thomassen, Mads& Jochumsen, Kirsten M.& Mogensen, Ole& Christensen, Kaare& Kruse, Torben A.. A Combinatory Approach for Selecting Prognostic Genes in Microarray Studies of Tumour Survivals. Advances in Bioinformatics. 2009. Vol. 2009, no. 2009, pp.1-7.
https://search.emarefa.net/detail/BIM-474895
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-474895