CausalTrail

CausalTrail is a software tool to test hypotheses and reasoning using causal bayesian networks utilizing do-calculus. The CausalTrail algorithm has functions to account for missing data; Thus, the tool is suitable, e.g., for analyses o multi-omics data. CausalTrail includes an intuitive graphical user interface written in Qt5.

Topic

Molecular interactions, pathways and networks

Detail

  • Operation: Statistical inference;Visualisation;Statistical calculation

  • Software interface: Command-line user interface;Graphical user interface

  • Language: C++

  • License: GNU General Public License v3

  • Cost: Free

  • Version name: -

  • Credit: The(Scalable Visual Analytics) of the DFG.

  • Input: The trivial graph format (tgf) and the simple interaction format (sif) with node node atrribute (na) files.

  • Output: -

  • Contact: Daniel Stöckel dstoeckel@bioinf.uni-sb.de

  • Collection: -

  • Maturity: -

Publications

  • CausalTrail: Testing hypothesis using causal Bayesian networks.
  • Stöckel D, Schmidt F, Trampert P, Lenhof HP. CausalTrail: Testing hypothesis using causal Bayesian networks. F1000Res. 2015 Dec 30;4:ISCB Comm J-1520. doi: 10.12688/f1000research.7647.1. PMID: 26913195; PMCID: PMC4743151.
  • https://doi.org/10.12688/f1000research.7647.1
  • PMID: 26913195
  • PMC: PMC4743151

Download and documentation

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