Two way clustering of Microarray Data using a Hybrid Approach

Malutan, Raul and Belean, Bogdan and Gómez Vilda, Pedro and Borda, Monica (2011). Two way clustering of Microarray Data using a Hybrid Approach. In: "34th International Conference onTelecommunications and Signal Processing (TSP), 2011", 18/08/2011 - 20/08/2011, Budapest, Hungria. ISBN 978-1-4577-1410-8.

Description

Title: Two way clustering of Microarray Data using a Hybrid Approach
Author/s:
  • Malutan, Raul
  • Belean, Bogdan
  • Gómez Vilda, Pedro
  • Borda, Monica
Item Type: Presentation at Congress or Conference (Article)
Event Title: 34th International Conference onTelecommunications and Signal Processing (TSP), 2011
Event Dates: 18/08/2011 - 20/08/2011
Event Location: Budapest, Hungria
Title of Book: Proceedings of 34th International Conference onTelecommunications and Signal Processing (TSP), 2011
Date: 2011
ISBN: 978-1-4577-1410-8
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Arquitectura y Tecnología de Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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.

More information

Item ID: 13679
DC Identifier: http://oa.upm.es/13679/
OAI Identifier: oai:oa.upm.es:13679
Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6043698
Deposited by: Memoria Investigacion
Deposited on: 20 Nov 2012 12:03
Last Modified: 21 Apr 2016 13:00
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