A generalised OMP algorithm for feature selection with application to gene expression data

1 Apr 2020Michail TsagrisZacharias PapadovasilakisKleanthi LakiotakiIoannis Tsamardinos

Feature selection for predictive analytics is the problem of identifying a minimal-size subset of features that is maximally predictive of an outcome of interest. To apply to molecular data, feature selection algorithms need to be scalable to tens of thousands of available features... (read more)

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