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Molecular profiles to biology and pathways: a systems biology approach
Interpreting molecular profiles in a biological context requires specialized analysis strategies. Initially, lists of relevant genes were screened to identify enriched concepts associated with pathways or specific molecular processes. However, the shortcoming of interpreting gene lists by using pred...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4910225/ https://www.ncbi.nlm.nih.gov/pubmed/27311441 http://dx.doi.org/10.1186/s40880-016-0112-4 |
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author | Van Laere, Steven Dirix, Luc Vermeulen, Peter |
author_facet | Van Laere, Steven Dirix, Luc Vermeulen, Peter |
author_sort | Van Laere, Steven |
collection | PubMed |
description | Interpreting molecular profiles in a biological context requires specialized analysis strategies. Initially, lists of relevant genes were screened to identify enriched concepts associated with pathways or specific molecular processes. However, the shortcoming of interpreting gene lists by using predefined sets of genes has resulted in the development of novel methods that heavily rely on network-based concepts. These algorithms have the advantage that they allow a more holistic view of the signaling properties of the condition under study as well as that they are suitable for integrating different data types like gene expression, gene mutation, and even histological parameters. |
format | Online Article Text |
id | pubmed-4910225 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49102252016-06-16 Molecular profiles to biology and pathways: a systems biology approach Van Laere, Steven Dirix, Luc Vermeulen, Peter Chin J Cancer Review Interpreting molecular profiles in a biological context requires specialized analysis strategies. Initially, lists of relevant genes were screened to identify enriched concepts associated with pathways or specific molecular processes. However, the shortcoming of interpreting gene lists by using predefined sets of genes has resulted in the development of novel methods that heavily rely on network-based concepts. These algorithms have the advantage that they allow a more holistic view of the signaling properties of the condition under study as well as that they are suitable for integrating different data types like gene expression, gene mutation, and even histological parameters. BioMed Central 2016-06-16 /pmc/articles/PMC4910225/ /pubmed/27311441 http://dx.doi.org/10.1186/s40880-016-0112-4 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Van Laere, Steven Dirix, Luc Vermeulen, Peter Molecular profiles to biology and pathways: a systems biology approach |
title | Molecular profiles to biology and pathways: a systems biology approach |
title_full | Molecular profiles to biology and pathways: a systems biology approach |
title_fullStr | Molecular profiles to biology and pathways: a systems biology approach |
title_full_unstemmed | Molecular profiles to biology and pathways: a systems biology approach |
title_short | Molecular profiles to biology and pathways: a systems biology approach |
title_sort | molecular profiles to biology and pathways: a systems biology approach |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4910225/ https://www.ncbi.nlm.nih.gov/pubmed/27311441 http://dx.doi.org/10.1186/s40880-016-0112-4 |
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