Cargando…
Indirect genomic effects on survival from gene expression data
In cancer, genes may have indirect effects on patient survival, mediated through interactions with other genes. Methods to study the indirect effects that contribute significantly to survival are not available. We propose a novel methodology to detect and quantify indirect effects from gene expressi...
Autores principales: | , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2397510/ https://www.ncbi.nlm.nih.gov/pubmed/18358079 http://dx.doi.org/10.1186/gb-2008-9-3-r58 |
_version_ | 1782155632268279808 |
---|---|
author | Ferkingstad, Egil Frigessi, Arnoldo Lyng, Heidi |
author_facet | Ferkingstad, Egil Frigessi, Arnoldo Lyng, Heidi |
author_sort | Ferkingstad, Egil |
collection | PubMed |
description | In cancer, genes may have indirect effects on patient survival, mediated through interactions with other genes. Methods to study the indirect effects that contribute significantly to survival are not available. We propose a novel methodology to detect and quantify indirect effects from gene expression data. We discover indirect effects through several target genes of transcription factors in cancer microarray data, pointing to genetic interactions that play a significant role in tumor progression. |
format | Text |
id | pubmed-2397510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-23975102008-05-30 Indirect genomic effects on survival from gene expression data Ferkingstad, Egil Frigessi, Arnoldo Lyng, Heidi Genome Biol Method In cancer, genes may have indirect effects on patient survival, mediated through interactions with other genes. Methods to study the indirect effects that contribute significantly to survival are not available. We propose a novel methodology to detect and quantify indirect effects from gene expression data. We discover indirect effects through several target genes of transcription factors in cancer microarray data, pointing to genetic interactions that play a significant role in tumor progression. BioMed Central 2008-03-22 /pmc/articles/PMC2397510/ /pubmed/18358079 http://dx.doi.org/10.1186/gb-2008-9-3-r58 Text en Copyright © 2008 Ferkingstad et al.; licensee BioMed Central Ltd. https://creativecommons.org/licenses/by/2.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0 (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Method Ferkingstad, Egil Frigessi, Arnoldo Lyng, Heidi Indirect genomic effects on survival from gene expression data |
title | Indirect genomic effects on survival from gene expression data |
title_full | Indirect genomic effects on survival from gene expression data |
title_fullStr | Indirect genomic effects on survival from gene expression data |
title_full_unstemmed | Indirect genomic effects on survival from gene expression data |
title_short | Indirect genomic effects on survival from gene expression data |
title_sort | indirect genomic effects on survival from gene expression data |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2397510/ https://www.ncbi.nlm.nih.gov/pubmed/18358079 http://dx.doi.org/10.1186/gb-2008-9-3-r58 |
work_keys_str_mv | AT ferkingstadegil indirectgenomiceffectsonsurvivalfromgeneexpressiondata AT frigessiarnoldo indirectgenomiceffectsonsurvivalfromgeneexpressiondata AT lyngheidi indirectgenomiceffectsonsurvivalfromgeneexpressiondata |