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Learning Relevant Image Features With Multiple-Kernel Classification

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Knowledge about the presence or absence of miRNA isoforms (isomiRs) can successfully discriminate amongst 32 TCGA cancer types

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Feature Selection for Neural Networks Using Group Lasso Regularization

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Submitted to Machine Learning. Summary

Guyon, I., Weston, J., & Barnhill, S. D. (2008)

Gene selection and classification for microarray data of colon and normal tissues using genetic algorithms

He, A. (2007) · Computer Engineering and Applications Journal

Gene Extraction for Cancer Diagnosis by Support Vector Machines

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Gene Selection for Cancer Classification Using Relevance Vector Machine

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