Inductive logic programming in pathway analysis

S. Tagore; V. S. Gomase; K. V. Kale

Inductive logic programming in pathway analysis

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

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

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 language	English
Title of host publication	Pathway Modeling and Algorithm Research
Publisher	Nova Science Publishers, Inc.
Pages	83-92
Number of pages	10
ISBN (Print)	9781611227574
State	Published - 2011
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Bayes classifier
Feasibility
Gene regulatory networks
Learnabilty
Logic programming.

Cite this

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KW - Bayes classifier

KW - Feasibility

KW - Gene regulatory networks

KW - Learnabilty

KW - Logic programming.

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ER -

Inductive logic programming in pathway analysis

Abstract

UN SDGs

Keywords

Other files and links

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Cite this