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

Project description

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.

2.0.1 (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

Project details


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3.0.1

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3.0.0.post2

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2.2.0

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2.1.1

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2.1.0

This version
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2.0.1

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2.0.0

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1.7

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1.6

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1.5

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1.4

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1.3

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1.2

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1.1

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1.1dev

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1.0

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Filename, size & hash SHA256 hash help File type Python version Upload date
caspo-2.0.1.tar.gz (48.1 kB) Copy SHA256 hash SHA256 Source None Apr 18, 2014

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