↓ Skip to main content

Cancer Gene Profiling

Overview of attention for book
Attention for Chapter 12: Meta-analysis of Cancer Gene Profiling Data.
Altmetric Badge

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
12 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Meta-analysis of Cancer Gene Profiling Data.
Chapter number 12
Book title
Cancer Gene Profiling
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3204-7_12
Pubmed ID
Book ISBNs
978-1-4939-3203-0, 978-1-4939-3204-7
Authors

Janine Roy, Christof Winter, Michael Schroeder

Editors

Robert Grützmann, Christian Pilarsky

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.

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 33%
Lecturer 2 17%
Student > Doctoral Student 2 17%
Librarian 1 8%
Student > Ph. D. Student 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 25%
Medicine and Dentistry 3 25%
Agricultural and Biological Sciences 2 17%
Computer Science 2 17%
Unknown 2 17%