Date of Completion

Spring 6-12-2019

Thesis Advisor(s)

Nehemy Lim

Honors Major



This paper presents the FOS algorithm as first outlined by Lim and Lederer in 2016, and describes its intuition. FOS is an algorithm that efficiently traverses the L1 regularization path of the LASSO regression. This paper also presents a novel implementation of the FOS algorithm for the Group LASSO problem, and compares this algorithm against a state-of-the-art regression package. These algorithms both have potential for significant impact in biomedical research regarding the analysis of gene expression data.