Analyzing causal relationships in proteomic profiles using CausalPath

Date
2021-12-17
Advisor
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Source Title
STAR Protocols
Print ISSN
2666-1667
Electronic ISSN
Publisher
Cell Press
Volume
2
Issue
4
Pages
1 - 12
Language
English
Type
Article
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Abstract

CausalPath (causalpath.org) evaluates proteomic measurements against prior knowledge of biological pathways and infers causality between changes in measured features, such as global protein and phospho-protein levels. It uses pathway resources to determine potential causality between observable omic features, which are called prior relations. The subset of the prior relations that are supported by the proteomic profiles are reported and evaluated for statistical significance. The end result is a network model of signaling that explains the patterns observed in the experimental dataset.

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Keywords
Bioinformatics, Proteomics, Systems biology
Citation
Published Version (Please cite this version)