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Erschienen in:
Classification of Low Dimensional 3-Lie Superalgebras Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Graph Centrality Based Prediction of Cancer Genes

verfasst von : Holger Weishaupt, Patrik Johansson, Christopher Engström, Sven Nelander, Sergei Silvestrov, Fredrik J. Swartling

Erschienen in: Engineering Mathematics II

Verlag: Springer International Publishing

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Abstract

Current cancer therapies including surgery, radiotherapy and chemotherapy are often plagued by high failure rates. Designing more targeted and personalized treatment strategies requires a detailed understanding of druggable tumor driver genes. As a consequence, the detection of cancer driver genes has evolved to a critical scientific field integrating both high-throughput experimental screens as well as computational and statistical strategies. Among such approaches, network based prediction tools have recently been accentuated and received major focus due to their potential to model various aspects of the role of cancer genes in a biological system. In this chapter, we focus on how graph centralities obtained from biological networks have been used to predict cancer genes. Specifically, we start by discussing the current problems in cancer therapy and the reasoning behind using network based cancer gene prediction, followed by an outline of biological networks, their generation and properties. Finally, we review major concepts, recent results as well as future challenges regarding the use of graph centralities in cancer gene prediction.

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Vorheriges Kapitel PageRank, Connecting a Line of Nodes with a Complete Graph
Nächstes Kapitel Output Rate Variation Problem: Some Heuristic Paradigms and Dynamic Programming
Fußnoten
1
A comprehensive list of centralities can be found in the CentiServer (http://​www.​centiserver.​org/​) [72].
 
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Metadaten
Titel
Graph Centrality Based Prediction of Cancer Genes
verfasst von
Holger Weishaupt
Patrik Johansson
Christopher Engström
Sven Nelander
Sergei Silvestrov
Fredrik J. Swartling
Copyright-Jahr
2016
Buch
Engineering Mathematics II

Print ISBN: 978-3-319-42104-9

Electronic ISBN: 978-3-319-42105-6

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-42105-6_13