In this paper, we argue that existing gene selection methods are not effective for selecting important genes when the number of samples and the data ...
In this paper, we use the parallel genetic algorithm to filter out the informative genes relative to classification. By combing with the classification method ...
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parallel genetic algorithm to filter out the informative genes relative to classification. By combing with the classification method proposed by Golub et al.
In this paper, we use the parallel genetic algorithm to filter out the informative genes relative to classification. By combing with the classification method ...
Abstract: Recent advances in biotechnology offer the ability to measure the levels of expression of thousands of genes in parallel.
In this paper, we use the parallel genetic algorithm to filter out the informative genes relative to classification. By combing with the classification method ...
Once a large number of near-optimal chromosomes have been obtained, genes can be ranked according to how often they were selected into these near-optimal.
Dec 15, 2023 · Improving classification accuracy of cancer types using parallel hybrid feature selection on microarray gene expression data. Genes Genom.
This sub-section starts with a detail discussion on the proposed sequential genetic algorithm in context of classification task, and then switches to the ...
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Abstract: Recent advances in biotechnology offer the ability to measure the levels of expression of thousands of genes in parallel.