Molecular profiles to biology and pathways: a systems biology approach.
Interpreting molecular profiles in a biological context requires specialized analysis strategies. Initially, lists of relevant genes were screened to identify enriched concepts associated with pathways or specific molecular processes. However, the shortcoming of interpreting gene lists by using predefined sets of genes has resulted in the development of novel methods that heavily rely on network-based concepts. These algorithms have the advantage that they allow a more holistic view of the signaling properties of the condition under study as well as that they are suitable for integrating different data types like gene expression, gene mutation, and even histological parameters.
Translational Cancer Research Unit, Center for Oncological Research, Faculty of Medicine and Health Sciences, University of Antwerp, Oosterveldlaan 24, Wilrijk, 2610, Antwerp, Belgium. Steven.VanLaere@uantwerpen.be.
Steven
S
Van Laere
Translational Cancer Research Unit, Center for Oncological Research, Faculty of Medicine and Health Sciences, University of Antwerp, Oosterveldlaan 24, Wilrijk, 2610, Antwerp, Belgium.
Luc
L
Dirix
Translational Cancer Research Unit, Center for Oncological Research, Faculty of Medicine and Health Sciences, University of Antwerp, Oosterveldlaan 24, Wilrijk, 2610, Antwerp, Belgium.
Peter
P
Vermeulen
D000465:Algorithms; D020869:Gene Expression Profiling / Q000379:methods*; D006801:Humans; D009369:Neoplasms / Q000235:genetics / Q000378:metabolism; D060066:Protein Interaction Maps; D015398:Signal Transduction; D049490:Systems Biology / Q000379:methods*
Data integration; Networks; Pathways; Systems biology; Topology