Pathway and network analysis of cancer genomes Journal Article
| Authors: | Creixell, P.; Reimand, J.; Haider, S.; Wu, G.; Shibata, T.; Vazquez, M.; Mustonen, V.; Gonzalez-Perez, A.; Pearson, J.; Sander, C.; Raphael, B. J.; Marks, D. S.; Ouellette, B. F. F.; Valencia, A.; Bader, G. D.; Boutros, P. C.; Stuart, J. M.; Linding, R.; Lopez-Bigas, N.; Stein, L. D. |
| Article Title: | Pathway and network analysis of cancer genomes |
| Abstract: | Genomic information on tumors from 50 cancer types cataloged by the International Cancer Genome Consortium (ICGC) shows that only a few well-studied driver genes are frequently mutated, in contrast to many infrequently mutated genes that may also contribute to tumor biology. Hence there has been large interest in developing pathway and network analysis methods that group genes and illuminate the processes involved. We provide an overview of these analysis techniques and show where they guide mechanistic and translational investigations. © 2015 Nature America, Inc. All rights reserved. |
| Keywords: | signal transduction; epidermal growth factor; protein phosphorylation; gene mutation; somatic mutation; review; complex formation; stat3 protein; melanoma; apoptosis; ovary cancer; gene expression; genetic variability; protein interaction; cancer genetics; gene interaction; glioblastoma; cellular distribution; gene regulatory network; molecular interaction; conformational transition; multiple cancer; apc protein; von hippel lindau protein; gene activity; gene ontology; gain of function mutation; human; priority journal; single nucleotide variant; fuzzy logic |
| Journal Title: | Nature Methods |
| Volume: | 12 |
| Issue: | 7 |
| ISSN: | 1548-7091 |
| Publisher: | Nature Publishing Group |
| Date Published: | 2015-07-01 |
| Start Page: | 615 |
| End Page: | 621 |
| Language: | English |
| DOI: | 10.1038/nmeth.3440 |
| PROVIDER: | scopus |
| PUBMED: | 26125594 |
| PMCID: | PMC4717906 |
| DOI/URL: | |
| Notes: | Export Date: 3 August 2015 -- Source: Scopus |
