Application of data mining techniques to protein-protein interaction prediction

Date

2003

Authors

Kocatas, A.
Gursoy, A.
Atalay, R.

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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. © Springer-Verlag Berlin Heidelberg 2003.

Source Title

Lecture Notes in Computer Science

Publisher

Springer-Verlag Berlin

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Published Version (Please cite this version)

Language

English