High dimensional model representation of log likelihood ratio: binary classification with SNP data

• Main Authors: Ali Foroughi pour (Author), Maciej Pietrzak (Author), Lara E. Sucheston-Campbell (Author), Ezgi Karaesmen (Author), Lori A. Dalton (Author), Grzegorz A. Rempała (Author)
• Format: Book
• Published: BMC, 2020-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Developing binary classification rules based on SNP observations has been a major challenge for many modern bioinformatics applications, e.g., predicting risk of future disease events in complex conditions such as cancer. Small-sample, high-dimensional nature of SNP data, weak ef...