Publication type: Conference paper
Type of review: Not specified
Title: Quality assessment of Affymetrix GeneChip data using the EM algorithm and a naïve Bayes classifier
Authors: Howard, Brian E.
Sick, Beate
Perera, Imara
Im, Yang Ju
Winter-Sederoff, Heike
Heber, Steffen
DOI: 10.1109/BIBE.2007.4375557
Proceedings: 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering
Conference details: 7th International Conference on BioInformatics and BioEngineering, Boston, USA, 14-17 October 2007
Issue Date: 2007
Publisher / Ed. Institution: IEEE
ISBN: 1-4244-1509-8
Language: English
Subjects: Quality assessment; Classification; Microarray
Subject (DDC): 570: Biology
Abstract: Recent research has demonstrated the utility of using supervised classification systems for automatic identification of low quality microarray data. However, this approach requires annotation of a large training set by a qualified expert. In this paper we demonstrate the utility of an unsupervised classification technique based on the Expectation-Maximization (EM) algorithm and naive Bayes classification. On our test set, this system exhibits performance comparable to that of an analogous supervised learner constructed from the same training data.
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Data Analysis and Process Design (IDP)
Appears in collections:Publikationen School of Engineering

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