Meta-analysis of Cancer Gene Profiling Data.

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

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.

Detaljer

Författare
  • Janine Roy
  • Christof Winter
  • Michael Schroeder
Enheter & grupper
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Medicinsk genetik
Originalspråkengelska
Sidor (från-till)211-222
TidskriftMethods in Molecular Biology
Volym1381
StatusPublished - 2016
PublikationskategoriForskning
Peer review utfördJa