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HisCoM-PAGE: software for hierarchical structural component models for pathway analysis of gene expression data
To identify pathways associated with survival phenotypes using gene expression data, we recently proposed the hierarchical structural component model for pathway analysis of gene expression data (HisCoM-PAGE) method. The HisCoM-PAGE software can consider hierarchical structural relationships between...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korea Genome Organization
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6944051/ https://www.ncbi.nlm.nih.gov/pubmed/31896245 http://dx.doi.org/10.5808/GI.2019.17.4.e45 |
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author | Mok, Lydia Park, Taesung |
author_facet | Mok, Lydia Park, Taesung |
author_sort | Mok, Lydia |
collection | PubMed |
description | To identify pathways associated with survival phenotypes using gene expression data, we recently proposed the hierarchical structural component model for pathway analysis of gene expression data (HisCoM-PAGE) method. The HisCoM-PAGE software can consider hierarchical structural relationships between genes and pathways and analyze multiple pathways simultaneously. It can be applied to various types of gene expression data, such as microarray data or RNA sequencing data. We expect that the HisCoM-PAGE software will make our method more easily accessible to researchers who want to perform pathway analysis for survival times. |
format | Online Article Text |
id | pubmed-6944051 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Korea Genome Organization |
record_format | MEDLINE/PubMed |
spelling | pubmed-69440512020-01-09 HisCoM-PAGE: software for hierarchical structural component models for pathway analysis of gene expression data Mok, Lydia Park, Taesung Genomics Inform Application Note To identify pathways associated with survival phenotypes using gene expression data, we recently proposed the hierarchical structural component model for pathway analysis of gene expression data (HisCoM-PAGE) method. The HisCoM-PAGE software can consider hierarchical structural relationships between genes and pathways and analyze multiple pathways simultaneously. It can be applied to various types of gene expression data, such as microarray data or RNA sequencing data. We expect that the HisCoM-PAGE software will make our method more easily accessible to researchers who want to perform pathway analysis for survival times. Korea Genome Organization 2019-12-23 /pmc/articles/PMC6944051/ /pubmed/31896245 http://dx.doi.org/10.5808/GI.2019.17.4.e45 Text en (c) 2019, Korea Genome Organization (CC) This is an open-access article distributed under the terms of the Creative Commons Attribution license(https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Application Note Mok, Lydia Park, Taesung HisCoM-PAGE: software for hierarchical structural component models for pathway analysis of gene expression data |
title | HisCoM-PAGE: software for hierarchical structural component models for pathway analysis of gene expression data |
title_full | HisCoM-PAGE: software for hierarchical structural component models for pathway analysis of gene expression data |
title_fullStr | HisCoM-PAGE: software for hierarchical structural component models for pathway analysis of gene expression data |
title_full_unstemmed | HisCoM-PAGE: software for hierarchical structural component models for pathway analysis of gene expression data |
title_short | HisCoM-PAGE: software for hierarchical structural component models for pathway analysis of gene expression data |
title_sort | hiscom-page: software for hierarchical structural component models for pathway analysis of gene expression data |
topic | Application Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6944051/ https://www.ncbi.nlm.nih.gov/pubmed/31896245 http://dx.doi.org/10.5808/GI.2019.17.4.e45 |
work_keys_str_mv | AT moklydia hiscompagesoftwareforhierarchicalstructuralcomponentmodelsforpathwayanalysisofgeneexpressiondata AT parktaesung hiscompagesoftwareforhierarchicalstructuralcomponentmodelsforpathwayanalysisofgeneexpressiondata |