Classification of DNA microarrays using artificial neural networks and ABC algorithm
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- 作者：Beatriz A. Garroa ; beatriz.garro@iimas.unam.mx" class="auth_mail" title="E-mail the corresponding author ; Katya Rodrí ; gueza ; katya.rodriguez@iimas.unam.mx" class="auth_mail" title="E-mail the corresponding author ; Roberto A. Vá ; zquezb ; ravem@lasallistas.org.mx" class="auth_mail" title="E-mail the corresponding author
- 关键词：DNA microarrays ; Artificial neural networks ; Pattern recognition ; Cancer classification ; Artificial Bee Colony algorithm
- 刊名：Applied Soft Computing
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：38
- 期：Complete
- 页码：548-560
- 全文大小：2090 K
文摘
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ABC algorithm discovered the best set of genes to classify correctly cancer samples.
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With less than 1% of information is possible to classify with an accuracy of 93.2%.
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Multilayer perceptron performs better than radial basis function network.