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Searching for differentially expressed gene combinations
We propose 'CorScor', a novel approach for identifying gene pairs with joint differential expression. This is defined as a situation with good phenotype discrimination in the bivariate, but not in the two marginal distributions. CorScor can be used to detect phenotype-related dependencies...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1257471/ https://www.ncbi.nlm.nih.gov/pubmed/16207359 http://dx.doi.org/10.1186/gb-2005-6-10-r88 |
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author | Dettling, Marcel Gabrielson, Edward Parmigiani, Giovanni |
author_facet | Dettling, Marcel Gabrielson, Edward Parmigiani, Giovanni |
author_sort | Dettling, Marcel |
collection | PubMed |
description | We propose 'CorScor', a novel approach for identifying gene pairs with joint differential expression. This is defined as a situation with good phenotype discrimination in the bivariate, but not in the two marginal distributions. CorScor can be used to detect phenotype-related dependencies and interactions among genes. Our easily interpretable approach is scalable to current microarray dimensions and yields promising results on several cancer-gene-expression datasets. |
format | Text |
id | pubmed-1257471 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-12574712005-10-19 Searching for differentially expressed gene combinations Dettling, Marcel Gabrielson, Edward Parmigiani, Giovanni Genome Biol Method We propose 'CorScor', a novel approach for identifying gene pairs with joint differential expression. This is defined as a situation with good phenotype discrimination in the bivariate, but not in the two marginal distributions. CorScor can be used to detect phenotype-related dependencies and interactions among genes. Our easily interpretable approach is scalable to current microarray dimensions and yields promising results on several cancer-gene-expression datasets. BioMed Central 2005 2005-09-19 /pmc/articles/PMC1257471/ /pubmed/16207359 http://dx.doi.org/10.1186/gb-2005-6-10-r88 Text en Copyright © 2005 Dettling et al.; licensee BioMed Central Ltd. |
spellingShingle | Method Dettling, Marcel Gabrielson, Edward Parmigiani, Giovanni Searching for differentially expressed gene combinations |
title | Searching for differentially expressed gene combinations |
title_full | Searching for differentially expressed gene combinations |
title_fullStr | Searching for differentially expressed gene combinations |
title_full_unstemmed | Searching for differentially expressed gene combinations |
title_short | Searching for differentially expressed gene combinations |
title_sort | searching for differentially expressed gene combinations |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1257471/ https://www.ncbi.nlm.nih.gov/pubmed/16207359 http://dx.doi.org/10.1186/gb-2005-6-10-r88 |
work_keys_str_mv | AT dettlingmarcel searchingfordifferentiallyexpressedgenecombinations AT gabrielsonedward searchingfordifferentiallyexpressedgenecombinations AT parmigianigiovanni searchingfordifferentiallyexpressedgenecombinations |