Meta-analysis of Cancer Gene Profiling Data.
(2016) In Methods in Molecular Biology 1381. p.211-222- Abstract
- The simultaneous measurement of thousands of genes gives the opportunity to personalize and improve cancer therapy. In addition, the integration of meta-data such as protein-protein interaction (PPI) information into the analyses helps in the identification and prioritization of genes from these screens.Here, we describe a computational approach that identifies genes prognostic for outcome by combining gene profiling data from any source with a network of known relationships between genes.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/8504778
- author
- Roy, Janine ; Winter, Christof LU and Schroeder, Michael
- organization
- publishing date
- 2016
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Methods in Molecular Biology
- volume
- 1381
- pages
- 211 - 222
- publisher
- Springer
- external identifiers
-
- pmid:26667463
- scopus:84949934370
- pmid:26667463
- ISSN
- 1940-6029
- DOI
- 10.1007/978-1-4939-3204-7_12
- language
- English
- LU publication?
- yes
- id
- 274f5032-a4dd-42d6-9759-1ac466b9b11c (old id 8504778)
- alternative location
- http://www.ncbi.nlm.nih.gov/pubmed/26667463?dopt=Abstract
- date added to LUP
- 2016-04-04 07:48:57
- date last changed
- 2022-03-07 20:46:23
@article{274f5032-a4dd-42d6-9759-1ac466b9b11c,
abstract = {{The simultaneous measurement of thousands of genes gives the opportunity to personalize and improve cancer therapy. In addition, the integration of meta-data such as protein-protein interaction (PPI) information into the analyses helps in the identification and prioritization of genes from these screens.Here, we describe a computational approach that identifies genes prognostic for outcome by combining gene profiling data from any source with a network of known relationships between genes.}},
author = {{Roy, Janine and Winter, Christof and Schroeder, Michael}},
issn = {{1940-6029}},
language = {{eng}},
pages = {{211--222}},
publisher = {{Springer}},
series = {{Methods in Molecular Biology}},
title = {{Meta-analysis of Cancer Gene Profiling Data.}},
url = {{http://dx.doi.org/10.1007/978-1-4939-3204-7_12}},
doi = {{10.1007/978-1-4939-3204-7_12}},
volume = {{1381}},
year = {{2016}},
}