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An efficient multivariate feature ranking method for gene selection in high-dimensional microarray data
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DOI：10.1016/j.eswa.2020.113971.png)
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摘要
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Classification of microarray data plays a significant role in the diagnosis and prediction of cancer. However, its high-dimensionality (>tens of thousands) compared to the number of observations (
Keyword:
Multivariate feature selection
Gene selection
High-dimensional data
Microarray data
Classification
Multiclass
Mixed-type data
Markov blanket
Ranking
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被引数:
10.2W
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