Selection of more than one gene at a time for cancer prediction from gene expression data
Selection of more than one gene at a time for cancer prediction from gene expression data
A new gene selection method capable of selecting more than one gene at a time is introduced. This characteristic contrasts it with almost all known methods assuming that there are no interactions between genes. The only exception is the pairwise gene selection method recently proposed by Bø and Jonassen [3]. Motivated by this method, we compare it and ours. Classification into healthy tissue and cancerous tumour is studied, where gene selection finds gene subsets well suitable for discriminating between these two classes. © 2006 i6doc.com publication. All rights reserved.
551-556
Okun, O.
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Zagoruiko, N.
2540f602-9f8b-41e7-9785-28ea207fdbd8
Alves, A.
87b9179e-abde-4ca5-abfc-4b7c5ac8b03b
Kutnenko, O.
77a1d8ad-6392-424c-90f7-e8836bb5cbc7
Borisova, I.
fd1320cf-9b38-4c66-8685-105059c29569
26 April 2006
Okun, O.
10ebb8b0-d8df-4334-9321-1c88c284fa05
Zagoruiko, N.
2540f602-9f8b-41e7-9785-28ea207fdbd8
Alves, A.
87b9179e-abde-4ca5-abfc-4b7c5ac8b03b
Kutnenko, O.
77a1d8ad-6392-424c-90f7-e8836bb5cbc7
Borisova, I.
fd1320cf-9b38-4c66-8685-105059c29569
Okun, O., Zagoruiko, N., Alves, A., Kutnenko, O. and Borisova, I.
(2006)
Selection of more than one gene at a time for cancer prediction from gene expression data.
In ESANN 2006 Proceedings - European Symposium on Artificial Neural Networks.
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Conference or Workshop Item
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Abstract
A new gene selection method capable of selecting more than one gene at a time is introduced. This characteristic contrasts it with almost all known methods assuming that there are no interactions between genes. The only exception is the pairwise gene selection method recently proposed by Bø and Jonassen [3]. Motivated by this method, we compare it and ours. Classification into healthy tissue and cancerous tumour is studied, where gene selection finds gene subsets well suitable for discriminating between these two classes. © 2006 i6doc.com publication. All rights reserved.
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Published date: 26 April 2006
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Local EPrints ID: 494378
URI: http://eprints.soton.ac.uk/id/eprint/494378
PURE UUID: d203d011-7537-4bca-8d15-f68fce388be2
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Date deposited: 07 Oct 2024 16:46
Last modified: 08 Oct 2024 02:13
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Contributors
Author:
O. Okun
Author:
N. Zagoruiko
Author:
A. Alves
Author:
O. Kutnenko
Author:
I. Borisova
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