Feature selection for DNA methylation based cancer classification
نویسندگان
چکیده
منابع مشابه
Feature selection for DNA methylation based cancer classification
Molecular portraits, such as mRNA expression or DNA methylation patterns, have been shown to be strongly correlated with phenotypical parameters. These molecular patterns can be revealed routinely on a genomic scale. However, class prediction based on these patterns is an under-determined problem, due to the extreme high dimensionality of the data compared to the usually small number of availab...
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Feature selection methods for cancer classification are aimed to overcome the high dimensionality of the biomedical data which is a challenging task. Most of the feature selection methods based on DNA methylation are time consuming during testing phase to identify the best pertinent features subset that are relevant to accurate prediction. However, the hybridization between feature selection an...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2001
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/17.suppl_1.s157