HisCoM-PCA: software for hierarchical structural component analysis for pathway analysis based using principal component analysis
Genomics & Informatics
; : e11-2020.
Article
em En
| WPRIM
| ID: wpr-898393
Biblioteca responsável:
WPRO
ABSTRACT
In genome-wide association studies, pathway-based analysis has been widely performed to enhance interpretation of single-nucleotide polymorphism association results. We proposed a novel method of hierarchical structural component model (HisCoM) for pathway analysis of common variants (HisCoM for pathway analysis of common variants [HisCoM-PCA]) which was used to identify pathways associated with traits. HisCoM-PCA is based on principal component analysis (PCA) for dimensional reduction of single nucleotide polymorphisms in each gene, and the HisCoM for pathway analysis. In this study, we developed a HisCoM-PCA software for the hierarchical pathway analysis of common variants. HisCoM-PCA software has several features. Various principle component scores selection criteria in PCA step can be specified by users who want to summarize common variants at each gene-level by different threshold values. In addition, multiple public pathway databases and customized pathway information can be used to perform pathway analysis. We expect that HisCoM-PCA software will be useful for users to perform powerful pathway analysis.
Texto completo:
1
Índice:
WPRIM
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
Genomics & Informatics
Ano de publicação:
2020
Tipo de documento:
Article