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      Analyzing causal relationships in proteomic profiles using CausalPath

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      Author(s)
      Luna, A.
      Siper, M. C.
      Korkut, A.
      Durupinar, F.
      Aslan, J. E.
      Sander, C.
      Demir, E.
      Babur, O.
      Doğrusöz, Uğur
      Date
      2021-12-17
      Source Title
      STAR Protocols
      Print ISSN
      2666-1667
      Publisher
      Cell Press
      Volume
      2
      Issue
      4
      Pages
      1 - 12
      Language
      English
      Type
      Article
      Item Usage Stats
      87
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      57
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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.
      Keywords
      Bioinformatics
      Proteomics
      Systems biology
      Permalink
      http://hdl.handle.net/11693/76731
      Published Version (Please cite this version)
      https://dx.doi.org/10.1016/j.xpro.2021.100955
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      • Department of Computer Engineering 1561
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