Staff Publications

Staff Publications

  • external user (warningwarning)
  • Log in as
  • language uk
  • About

    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 447972
Title Cancer gene prioritization by integrative analysis of mRNA expression and DNA copy number data: a comparative review
Author(s) Lahti, L.M.; Schäfer, M.; Klein, H.U.; Bicciato, S.; Dugas, M.
Source Briefings in Bioinformatics 14 (2013)1. - ISSN 1467-5463 - p. 27 - 35.
DOI http://dx.doi.org/10.1093/bib/bbs005
Department(s) Microbiological Laboratory
VLAG
Publication type Refereed Article in a scientific journal
Publication year 2013
Keyword(s) canonical correlation-analysis - acute lymphoblastic-leukemia - breast-cancer - r-package - genomic data - microarray - aberrations - regression - pathways - impact
Abstract A variety of genome-wide profiling techniques are available to investigate complementary aspects of genome structure and function. Integrative analysis of heterogeneous data sources can reveal higher level interactions that cannot be detected based on individual observations. A standard integration task in cancer studies is to identify altered genomic regions that induce changes in the expression of the associated genes based on joint analysis of genome-wide gene expression and copy number profiling measurements. In this review, we highlight common approaches to genomic data integration and provide a transparent benchmarking procedure to quantitatively compare method performances in cancer gene prioritization. Algorithms, data sets and benchmarking results are available at http://intcomp.r-forge.r-project.org
Comments
There are no comments yet. You can post the first one!
Post a comment
 
Please log in to use this service. Login as Wageningen University & Research user or guest user in upper right hand corner of this page.