Analyzing causal relationships in proteomic profiles using CausalPath
Author(s)
Date
2021-12-17Source Title
STAR Protocols
Print ISSN
2666-1667
Publisher
Cell Press
Volume
2
Issue
4
Pages
1 - 12
Language
English
Type
ArticleItem Usage Stats
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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.