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- Title
Inferring signalling networks from longitudinal data using sampling based approaches in the R-package 'ddepn'.
- Authors
Bender, Christian; Heyde, Silvia vd; Henjes, Frauke; Wiemann, Stefan; Korf, Ulrike; Beissbarth, Tim
- Abstract
Network inference from high-throughput data has become an important means of current analysis of biological systems. For instance, in cancer research, the functional relationships of cancer related proteins, summarised into signalling networks are of central interest for the identification of pathways that influence tumour development. Cancer cell lines can be used as model systems to study the cellular response to drug treatments in a time-resolved way. Based on these kind of data, modelling approaches for the signalling relationships are needed, that allow to generate hypotheses on potential interference points in the networks.
- Publication
BMC bioinformatics, 2011, Vol 12, p291
- ISSN
1471-2105
- Publication type
Journal Article
- DOI
10.1186/1471-2105-12-291