Penalized logistic regression with the adaptive LASSO for gene selection in high-dimensional cancer classification

• Main Authors: Algamal, Zakariya Yahya, Lee, Muhammad Hisyam
• Format: Article
• Published: Elsevier Ltd 2015
• Subjects: QA Mathematics
• Online Access: http://eprints.utm.my/id/eprint/58770/; http://dx.doi.org/10.1016/j.eswa.2015.08.016
• Institution: Universiti Teknologi Malaysia

An important application of DNA microarray data is cancer classification. Because of the high-dimensionality problem of microarray data, gene selection approaches are often employed to support the expert systems in diagnostic capability of cancer with high classification accuracy. Penalized logistic...