Using sampling methods to improve binding site predictions

Yi. Sun, M. Robinson, R.G. Adams, R. Te Boekhorst, A.G. Rust, N. Davey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)
38 Downloads (Pure)

Abstract

Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. In previous work we combine random selection under-sampling into SMOTE over-sampling technique, working with several classification algorithms from machine learning field to integrate binding site predictions. In this paper, we improve the classification result with the aid of Tomek links as an either undersampling or cleaning technique.
Original languageEnglish
Title of host publicationIn: Procs of the 14th European Symposium on Artificial Neural Networks, ESANN 2006
Pages533-538
Publication statusPublished - 2006

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