Application of abductive ILP to learning metabolic network inhibition from temporal data

DOI10.1007/s10994-006-8988-xzbMath1103.68443OpenAlexW2135498576WikidataQ62615116 ScholiaQ62615116MaRDI QIDQ2433189

Alireza Tamaddoni-Nezhad, Raphael Chaleil, Stephen H. Muggleton, Antonis C. Kakas

Publication date: 27 October 2006

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-006-8988-x

zbMATH Keywords

bioinformaticsabductive ILPmodelling metabolic networks

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Logic programming (68N17)

Related Items (10)

Identification of biological transition systems using meta-interpreted logic programs ⋮ Hypothesizing about signaling networks ⋮ Completing causal networks by meta-level abduction ⋮ ILP turns 20. Biography and future challenges ⋮ Brave induction: a logical framework for learning from incomplete information ⋮ Modeling biological networks by action languages via answer set programming ⋮ Learning from interpretation transition ⋮ Learning Probabilistic Logic Models from Probabilistic Examples (Extended Abstract) ⋮ Learning probabilistic logic models from probabilistic examples ⋮ Structured machine learning: the next ten years

Uses Software

• KEGG
• GenePath

Cites Work

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• Numerical Integration Over the Spherical Shell
• Inductive Logic Programming: Theory and methods
• Abductive Inference
• Abductive Logic Programming
• Mode-Directed Inverse Entailment for Full Clausal Theories
• Logic Programming and Nonmonotonic Reasoning
• Inductive Logic Programming
• Inductive logic programming
• Inductive Logic Programming

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