Abstract
In view of the active use of DNA microarrays in solving various problems in medicine, bioinformatics, and molecular biology, there is a growing need of data mining algorithms capable of handling tasks in which the number of analyzed objects is smaller than the number of attributes by orders of magnitude. However, most of the currently existing algorithms were originally not intended to solving such complex, ill-conditioned problems. We have developed an approach based on the idea of rival similarity, which makes it possible to develop algorithms better suited for this purpose. We proposed one such algorithm, FRiS-GRAD, which simultaneously solves the problem of recognizing and selecting the system of informative features. Its efficiency is illustrated in a variety of medical problems compared to the most popular algorithms for the selection of informative features and recognition.
Similar content being viewed by others
References
Guyon, I., Weston, J., Barnhill, S., and Vapnik, V., Gene selection for cancer classification using support vector machines, Machine Learning, 2002, vol. 46, nos. 1–3, pp. 389–422.
Jeffery, I., Higgins, D., and Culhane, A., Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data, BMC Bioinformatics, 2006, vol. 7, p. 359.
Vapnik, V.N., Statistical Learning Theory, Wiley-Interscience, 1998.
Zagoruiko, N.G., Borisova, I.A., Dyubanov, V.V., and Kutnenko, O.A., Methods of recognition based on the function of rival similarity, Pattern Recognition Image Analysis, 2008, vol. 18, no. 1, p. 1.
Zagoruiko, N.G., Borisova, I.A., Dyubanov, V.V., and Kutnenko, O.A., A quantitative measure of compactness and similarity in competitive space, Sib. Zh. Ind. Matem., Novosibirsk, 2010, vol. 13, no. 1 (141), pp. 59–71.
Zagoruiko, N.G., Kognitivnyi analiz dannykh (Cognitive Data Analysis), Novosibirsk: Akadem. Izdat. GEO, 2013.
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © N.G. Zagoruiko, O.A. Kutnenko, I.A. Borisova, V.V. Dyubanov, D.A. Levanov, O.A. Zyranov, 2014, published in Vavilovskii Zhurnal Genetiki i Selektsii, 2014, Vol. 18, No. 4/2, pp. 898–903.
Rights and permissions
About this article
Cite this article
Zagoruiko, N.G., Kutnenko, O.A., Borisova, I.A. et al. Feature selection in the task of medical diagnostics on microarray data. Russ J Genet Appl Res 5, 330–334 (2015). https://doi.org/10.1134/S2079059715040164
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S2079059715040164