HisCoM-PAGE: Hierarchical Structural Component Models for Pathway Analysis of Gene Expression Data
- Title
- HisCoM-PAGE: Hierarchical Structural Component Models for Pathway Analysis of Gene Expression Data
- Author
- 최성경
- Keywords
- pathway analysis; survival phenotype; Hierarchical structured component model
- Issue Date
- 2019-11
- Publisher
- Multidisciplinary Digital Publishing Institute (MDPI)
- Citation
- Genes, v. 10.0, NO. 11, article no. 931, Page. 1-17
- Abstract
- Although there have been several analyses for identifying cancer-associated pathways, based on gene expression data, most of these are based on single pathway analyses, and thus do not consider correlations between pathways. In this paper, we propose a hierarchical structural component model for pathway analysis of gene expression data (HisCoM-PAGE), which accounts for the hierarchical structure of genes and pathways, as well as the correlations among pathways. Specifically, HisCoM-PAGE focuses on the survival phenotype and identifies its associated pathways. Moreover, its application to real biological data analysis of pancreatic cancer data demonstrated that HisCoM-PAGE could successfully identify pathways associated with pancreatic cancer prognosis. Simulation studies comparing the performance of HisCoM-PAGE with other competing methods such as Gene Set Enrichment Analysis (GSEA), Global Test, and Wald-type Test showed HisCoM-PAGE to have the highest power to detect causal pathways in most simulation scenarios.
- URI
- https://www.mdpi.com/2073-4425/10/11/931https://repository.hanyang.ac.kr/handle/20.500.11754/177479
- ISSN
- 2073-4425
- DOI
- 10.3390/genes10110931
- Appears in Collections:
- COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY[E](과학기술융합대학) > APPLIED MATHEMATICS(응용수학과) > Articles
- Files in This Item:
- 3933_최성경.pdfDownload
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