Textmining, feature selection and datamining for proteins classification

The present study presents the classification of proteins by basing on its primary structures. The sequence of proteins collected in a file. The application of textmining technique for extracting the features is proposed. An algorithm is also developed which extracts all the n-grams existing in the file of data and produced a learning file. Algorithm supplies three files, Boolean file, that is a relation of existence or not existence, frequencies files and occurrences files. The applied forward selection and backward elimination method is a learning file with an accepted features numbers.