LogSum + L penalized logistic regression model for biomarker selection and cancer classification.

Biomarker selection and cancer classification play an important role in knowledge discovery using genomic data. Successful identification of gene biomarkers and biological pathways can significantly improve the accuracy of diagnosis and help machine learning models have better performance on classification of different types of cancer. In this paper, we proposed a LogSum + L penalized logistic regression model, and furthermore used a coordinate decent algorithm to solve it.