NDLI: Two way clustering of microarray data using a hybrid approach

Content Provider	IEEE Xplore Digital Library
Author	Malutan, R. Belean, B. Vilda, P.G. Borda, M.
Copyright Year	2011
Description	Author affiliation: Communications Department, Technical University of Cluj-Napoca, 26-28 George Baritiu St., 400027 Cluj-Napoca, Romania (Malutan, R.; Belean, B.) \|\| Departamento de Arquitectura y Tecnología de Sistemas Informáticos (DATSI), Universidad Politécnica de Madrid, Campus de Montegancedo, s/n, 28660, Boadilla del Monte, Madrid, Spain (Vilda, P.G.) \|\| Communications Department, Technical University of Cluj-Napoca, 26-28 George Baritiu St, 400027 Cluj-Napoca, Romania (Borda, M.)
Abstract	The Microarray technique is rather powerful, as it allows to test up thousands of genes at a time, but this produces an overwhelming set of data files containing huge amounts of data, which is quite difficult to pre-process, separate, classify and correlate for interesting conclusions to be extracted. Modern machine learning, data mining and clustering techniques based on information theory, are needed to read and interpret the information contents buried in those large data sets. Independent Component Analysis method can be used to correct the data affected by corruption processes or to filter the uncorrectable one and then clustering methods can group similar genes or classify samples. In this paper a hybrid approach is used to obtain a two way unsupervised clustering for a corrected microarray data.
Starting Page	417
Ending Page	420
File Size	1005178
Page Count	4
File Format	PDF
ISBN	9781457714108
e-ISBN	9781457714115
DOI	10.1109/TSP.2011.6043698
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-18
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis K-means Data analysis Expectation Maximization External validation Clustering algorithms Independent component analysis Indexes Gene expression Microarray Clustering Probes
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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