ArticleGenes2019
HisCoM-PAGE: Hierarchical Structural Component Models for Pathway Analysis of Gene Expression Data.
Article in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Parametric hypothesis testing for pathway based hierarchical structural component models.Genes & genomics · 2026Article
- Hierarchical structural component model for pathway analysis of multinomial phenotypes.Genes & genomics · 2025Article
- Kernel-based hierarchical structural component models for pathway analysis on survival phenotype.Genes & genomics · 2024Article
- Article
- HisCoM-PAGE: software for hierarchical structural component models for pathway analysis of gene expression data.Genomics & informatics · 2019Article
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Authors and funding
7 authors.
Funding
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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.
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Registered trials
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