2021
DOI: 10.1186/s12911-021-01696-3
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A graph-based gene selection method for medical diagnosis problems using a many-objective PSO algorithm

Abstract: Background Gene expression data play an important role in bioinformatics applications. Although there may be a large number of features in such data, they mainly tend to contain only a few samples. This can negatively impact the performance of data mining and machine learning algorithms. One of the most effective approaches to alleviate this problem is to use gene selection methods. The aim of gene selection is to reduce the dimensions (features) of gene expression data leading to eliminating i… Show more

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Cited by 8 publications
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References 55 publications
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