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.
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References
Ben-Dor, A., Chor, B., Karp, R., Yakhini, Z.: Discovering local structure in gene expression data: The order-preserving submatrix problem. In: 6th Computational Biology International Conference (2002)
Ding, C.H.Q.: Unsupervised feature selection via two-way ordering in gene expression analysis. NERSC Division, Lawrence Berkeley National Laboratory, University of California, Berkeley, CA, USA
Dhillon, I.S., Guan, Y., Kogan, J.: Iterative clustering of high dimensional text data augmented by local search. In: 2nd IEEE International Conference Data Mining, ICDM (2002)
Getz, G., Levine, E., Domany, E.: Coupled two-way clustering analysis of gene microarray data. Proc. Natural Academy of Sciences US (2000)
Golub, T., Slonim, D.K., et al.: Molecular classification of cancer: class discovery and class prediction by gene expression monitoring
Dhillon, I.S., Marcotte, E.M., Roshan, U.: Diametrical clustering for identifying anti-correlated gene clusters. Bioinformatics, 1612–1619 (2003)
Klugar, Y., Basri, R., Chang, J.T., Gerstein, M.: Spectral biclustering of microarray data: Coclustering genes and conditions. Genome Research, 703–716 (2003)
Livne, O.E., Golub, G.H.: Scaling by binormalization. Numerical Algorithms, 97–120 (2004)
Press, W.H., Flannery, B.P., Teukolsky, S.A., Vetterling W.T.: Numerical recipes in c (1988)
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© 2012 Springer-Verlag Berlin Heidelberg
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Desai, B., Andhale, P., Rege, M., Yu, Q. (2012). Biclustering and Feature Selection Techniques in Bioinformatics. In: Kannan, R., Andres, F. (eds) Data Engineering and Management. ICDEM 2010. Lecture Notes in Computer Science, vol 6411. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27872-3_42
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DOI: https://doi.org/10.1007/978-3-642-27872-3_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27871-6
Online ISBN: 978-3-642-27872-3
eBook Packages: Computer ScienceComputer Science (R0)