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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...

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Detalles Bibliográficos
Autores principales: Mok, Lydia, Park, Taesung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korea Genome Organization 2019
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.
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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
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