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caspo 2.1.1

Reasoning on the response of logical signaling networks with Answer Set Programming

Package Documentation

The aim of caspo is to implement a pipeline for automated reasoning on logical signaling networks. Main features include, learning of logical networks from experiments, design new experiments in order to reduce the uncertainty, and finding intervention strategies to control the biological system. For more details visit caspo’s website.

2.1.1 (2014-08-30)

  • Bugfix in console handler for caspo design

2.1.0 (2014-08-28)

  • Bugfix in ASP encoding for caspo control
  • Implements caspo design from a list of experiments
  • Optionally relax hard constraint in caspo design
  • Implements random learner in caspo learn

2.0.1 (2014-04-18)

  • Improve ASP encoding for caspo design
  • Use to_str method available in pyzcasp 1.0.1

2.0.0 (2014-03-24)

  • Complete refactoring (no backwards compatibility)

  • Introduce subcommands:
    • learn: learning logical networks
    • control: finding intervention strategies
    • analyze: compute I/O behaviors and basic stats
    • design: experimental design to discriminate I/O behaviors
    • visualize: dump results from other subcommands to dot files
  • Uses latest potassco tools: clingo >= 4.3.0, gringo >= 4.3.0 and clasp >= 3.0.2

 
File Type Py Version Uploaded on Size
caspo-2.1.1.tar.gz (md5) Source 2014-08-30 48KB
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