title: Generating programs for predicting the activity of functional sites.
abstract: The computer system ACTIVITY is intended for generating programs with which to predict the activity of functional sites by nucleotide sequences. ACTIVITY analyzes a basis set of nucleotide sequences with known activity. The novelty of this approach is that Zadeh's fuzzy logic and decision-making theory have been employed for determining the best "sequence-->activity" regression. The best one thus determined is then transformed into the text of a program with which the activity for any nucleotide sequence is to be predicted. Testing with independent data has proved this prediction reliable. We have compared our approach with the two commonly used on identical data sets to find the ACTIVITY-generated programs quite competitive.
authors.affiliation: Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia. pon@cgi.nsk.su
authors.forename: M P
authors.initials: MP
authors.lastname: Ponomarenko
authors.forename: A N
authors.initials: AN
authors.lastname: Kolchanova
authors.forename: N A
authors.initials: NA
authors.lastname: Kolchanov
mesh_terms: D003628:Database Management Systems; D017143:Fuzzy Logic; D017422:Sequence Analysis, DNA