Train-spotting: building classifiers for microarrays

Lan, Yuxuan, Cawley, G. C. ORCID: and Harvey, R. W. ORCID: (2003) Train-spotting: building classifiers for microarrays. In: IEEE/INNS International Joint Conference on Artificial Neural Networks, 2003-07-20 - 2003-07-24.

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The problem of extracting spots from DNA microarrays is a problem of considerable scientific and economic utility. In this paper we introduce a new approach based on a scale-space analysis of the image. We augment this with a machine learning system that guides an operator by classifying spots into those that require further attention and those that are already segmented correctly. We compare conventional k-nearest neighbor techniques with generalized linear models and multilayer perceptrons using confidence intervals and McNemar's test.

Item Type: Conference or Workshop Item (Paper)
Faculty \ School: Faculty of Science > School of Computing Sciences

UEA Research Groups: Faculty of Science > Research Groups > Computational Biology
Faculty of Science > Research Groups > Data Science and Statistics
Faculty of Science > Research Groups > Centre for Ocean and Atmospheric Sciences
Faculty of Science > Research Groups > Interactive Graphics and Audio
Faculty of Science > Research Groups > Smart Emerging Technologies
Depositing User: Vishal Gautam
Date Deposited: 04 Jul 2011 08:17
Last Modified: 22 Apr 2023 02:47
DOI: 10.1109/IJCNN.2003.1224037

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