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Article Causal interactions from proteomic profiles: Molecular data meet pathway knowledge Graphical abstract Highlights d CausalPath builds mechanistic models from proteomic profiles d It integrates biological pathway models with molecular measurements d It supports logical reasoning with post-translational modifications d A web server, free software, and a source code are available Authors O ¨ zgun Babur, Augustin Luna, Anil Korkut, ..., Joseph E. Aslan, Chris Sander, Emek Demir Correspondence [email protected] In brief CausalPath integrates detailed biological pathways with proteomic and other molecular profiles to generate mechanistic models explaining how the observed changes are related. It is applicable to a wide range of contexts and a variety of experiment types. The method can be accessed at causalpath.org. Babur et al., 2021, Patterns 2, 100257 June 11, 2021 ª 2021 The Author(s). https://doi.org/10.1016/j.patter.2021.100257 ll
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Causal interactions from proteomic profiles: Molecular data meet pathway knowledge

Jul 11, 2023

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