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Discovering informative genes from gene expression data : a multi-strategy approach

From National Research Council Canada

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Name affiliation
  1. National Research Council of Canada. NRC Institute for Information Technology
  2. National Research Council of Canada. NRC Biotechnology Research Institute
FormatText, Article
ConferenceThe 18th European Conference on Machine Learning, September 17-21, 2007, Warsaw, Poland
Subjectgene expression data analysis; multi-strategy learning; data mining and knowledge discovery
Abstract
This paper discusses the issue of dealing with large volume of high throughput genomics data and applying unsupervised multi-strategy methods to identify differentially expressed genes. We introduce a novel method that consists of 8 steps. The approach is applied to a set of genomics data obtained from a cancer research study. We demonstrate the effectiveness of our method which includes some validation using biological experiments and literature search.
Publication date
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  • The 18th European Conference on Machine Learning [Proceedings].
LanguageEnglish
NRC numberNRCC 49839
NPARC number5765693
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Record identifier201ab8c6-53af-49cc-9143-9fc3df1b076d
Record created2009-03-29
Record modified2020-08-12
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