期刊
RUSSIAN JOURNAL OF NUMERICAL ANALYSIS AND MATHEMATICAL MODELLING
卷 35, 期 5, 页码 263-271出版社
WALTER DE GRUYTER GMBH
DOI: 10.1515/rnam-2020-0022
关键词
Mutual information; data mining; feature selection; pentapeptide stability prediction
资金
- RFBR [20-04-01085]
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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