Abstract
The paper describes several data mining techniques, developed to solve problems which are faced by biologists in Bioinformatics.Several biclustering algorithms which perform clustering on the two dimensions simultaneously are described. Other techniques described in this paper include feature selection methods which help in reducing noise and improving the performance of the classification model. © 2012 Springer-Verlag.
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CITATION STYLE
Desai, B., Andhale, P., Rege, M., & Yu, Q. (2012). Biclustering and feature selection techniques in bioinformatics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6411 LNCS, pp. 280–287). https://doi.org/10.1007/978-3-642-27872-3_42
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