Publication: Application of data mining techniques to protein-protein interaction prediction
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KU Authors
Co-Authors
Atalay, R.
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Embargo Status
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Abstract
Protein-protein interactions are key to understanding biological processes and disease mechanisms in organisms. There is a vast amount of data on proteins waiting to be explored. In this paper, we describe application of data mining techniques, namely association rule mining and ID3 classification, to the problem of predicting protein-protein interactions. We have combined available interaction data and protein domain decomposition data to infer new interactions. Preliminary results show that our approach helps us find plausible rules to understand biological processes.
Source
Publisher
Springer
Subject
Computer science, Artificial intelligence, Computer science, Information systems, Software engineering
Citation
Has Part
Source
Computer and Information Sciences - Iscis 2003