Inductive logic programming in pathway analysis

S. Tagore, V. S. Gomase, K. V. Kale

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


Theoretical models and computational algorithms can be trained for analysis of complex pathway data sets specifically in case of diseases including cancer. A well-developed model can also be used to predict the outcomes of various alterations made to the cells and can identify intra-cellular targets for drugs and genetic engineering. Inductive logic programming is one such technique that can be used successfully for modeling and analyzing complex networks. It combines Logic Programming and Machine Learning to predict descriptions from examples and background knowledge.

Original languageEnglish
Title of host publicationPathway Modeling and Algorithm Research
PublisherNova Science Publishers, Inc.
Number of pages10
ISBN (Print)9781611227574
StatePublished - 2011
Externally publishedYes


  • Bayes classifier
  • Feasibility
  • Gene regulatory networks
  • Learnabilty
  • Logic programming.


Dive into the research topics of 'Inductive logic programming in pathway analysis'. Together they form a unique fingerprint.

Cite this