Journal
RUSSIAN JOURNAL OF NUMERICAL ANALYSIS AND MATHEMATICAL MODELLING
Volume 35, Issue 5, Pages 263-271Publisher
WALTER DE GRUYTER GMBH
DOI: 10.1515/rnam-2020-0022
Keywords
Mutual information; data mining; feature selection; pentapeptide stability prediction
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Funding
- RFBR [20-04-01085]
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A novel non-parametric method for mutual information estimation is presented. The method is suited for informative feature selection in classification and regression problems. Performance of the method is demonstrated on problem of stable short peptide classification.
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