Classification problems, use

Similar to protein-DNA interactions, protein-RNA interactions also perform vital roles in the cell including protein synthesis, viral replication, cellular defense and developmental regulation [145,146]. One major direction in the analysis of protein-RNA interactions is to identify proteins that bind RNA based on features derived from physio-chemical properties of the sequence. A number of published works have focused casting this problem as a binary classification problem using the support vector machines (SVM) classifier to identify proteins that bind RNA [33-35, 51]. Each of these works derived large data sets from the SwissProt database and applied the support vector machines classifier to discriminate protein sequences that bind RNA from all other sequences. Since sequence analysis techniques can identity homologous proteins as having similar function, most of these works reduced the redundancy of the data sets below a certain threshold <40% [35], < 25%... 

When deaUng with binary classification problems using a single descriptor, Fisher ratios (FR) can be used to select the best predictor [60,315,324]. Such ratios are defined as... 

The problem we deal with, in comparison with the problem considered in (Shental, Bar-Hillel, Hertz, Weinshall 2003), has to lead to a hard partition. Then we add an intermediate classification step between the E and M steps. This has been suggested in (Celeux Govaert 1992, Celeux Govaert 1995) in a hard classification problem using mixture models without constraints. 

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