Date of Award
Spring 4-5-2013
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Mathematics and Statistics
First Advisor
Dr. Luo, Ruiyan
Abstract
The development of the technology makes it possible to measure large amount of genes expressions simultaneously. Since biological functions are mostly coordinated by multiple genes, called “gene pathway”, it is interesting to identify differential gene pathways which are associated with clinical phenotype. Principal component analysis has been proposed to identify differential gene pathways in several literatures, while sparse principal component analysis (SPCA) has not drawn any attention. We proposed to use SPCA to identify differential gene pathways. The results show that, comparing to PCA, SPCA could identify more differential expressed gene pathways, especially when the higher-order interactions among genes are considered.
DOI
https://doi.org/10.57709/4030968
Recommended Citation
Yin, Yichao, "Identification of Differential Gene Pathways with Sparse Principal Component Analysis." Thesis, Georgia State University, 2013.
doi: https://doi.org/10.57709/4030968