Analyzing causal relationships in proteomic profiles using CausalPath

Summary: 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 observ...

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Autores principales:	Augustin Luna, Metin Can Siper, Anil Korkut, Funda Durupinar, Ugur Dogrusoz, Joseph E. Aslan, Chris Sander, Emek Demir, Ozgun Babur
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Bioinformatics Proteomics Systems biology Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/fc4ddb8e45544aaa907f1d765d544284
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spelling	oai:doaj.org-article:fc4ddb8e45544aaa907f1d765d5442842021-11-26T04:40:33ZAnalyzing causal relationships in proteomic profiles using CausalPath2666-166710.1016/j.xpro.2021.100955https://doaj.org/article/fc4ddb8e45544aaa907f1d765d5442842021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666166721006614https://doaj.org/toc/2666-1667Summary: 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.For complete details on the use and execution of this protocol, please refer to Babur et al. (2021).Augustin LunaMetin Can SiperAnil KorkutFunda DurupinarUgur DogrusozJoseph E. AslanChris SanderEmek DemirOzgun BaburElsevierarticleBioinformaticsProteomicsSystems biologyScience (General)Q1-390ENSTAR Protocols, Vol 2, Iss 4, Pp 100955- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Bioinformatics Proteomics Systems biology Science (General) Q1-390
spellingShingle	Bioinformatics Proteomics Systems biology Science (General) Q1-390 Augustin Luna Metin Can Siper Anil Korkut Funda Durupinar Ugur Dogrusoz Joseph E. Aslan Chris Sander Emek Demir Ozgun Babur Analyzing causal relationships in proteomic profiles using CausalPath
description	Summary: 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.For complete details on the use and execution of this protocol, please refer to Babur et al. (2021).
format	article
author	Augustin Luna Metin Can Siper Anil Korkut Funda Durupinar Ugur Dogrusoz Joseph E. Aslan Chris Sander Emek Demir Ozgun Babur
author_facet	Augustin Luna Metin Can Siper Anil Korkut Funda Durupinar Ugur Dogrusoz Joseph E. Aslan Chris Sander Emek Demir Ozgun Babur
author_sort	Augustin Luna
title	Analyzing causal relationships in proteomic profiles using CausalPath
title_short	Analyzing causal relationships in proteomic profiles using CausalPath
title_full	Analyzing causal relationships in proteomic profiles using CausalPath
title_fullStr	Analyzing causal relationships in proteomic profiles using CausalPath
title_full_unstemmed	Analyzing causal relationships in proteomic profiles using CausalPath
title_sort	analyzing causal relationships in proteomic profiles using causalpath
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/fc4ddb8e45544aaa907f1d765d544284
work_keys_str_mv	AT augustinluna analyzingcausalrelationshipsinproteomicprofilesusingcausalpath AT metincansiper analyzingcausalrelationshipsinproteomicprofilesusingcausalpath AT anilkorkut analyzingcausalrelationshipsinproteomicprofilesusingcausalpath AT fundadurupinar analyzingcausalrelationshipsinproteomicprofilesusingcausalpath AT ugurdogrusoz analyzingcausalrelationshipsinproteomicprofilesusingcausalpath AT josepheaslan analyzingcausalrelationshipsinproteomicprofilesusingcausalpath AT chrissander analyzingcausalrelationshipsinproteomicprofilesusingcausalpath AT emekdemir analyzingcausalrelationshipsinproteomicprofilesusingcausalpath AT ozgunbabur analyzingcausalrelationshipsinproteomicprofilesusingcausalpath
_version_	1718409819925250048

Analyzing causal relationships in proteomic profiles using CausalPath

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