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Lan, Yuxuan, Cawley, G. C. 
ORCID: https://orcid.org/0000-0002-4118-9095 and Harvey, R. W. ORCID: https://orcid.org/0000-0001-9925-8316
(2003)
Train-spotting: building classifiers for microarrays.
In: IEEE/INNS International Joint Conference on Artificial Neural Networks, 2003-07-20 - 2003-07-24.
Abstract
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 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/23698 |
| DOI: | 10.1109/IJCNN.2003.1224037 |
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