Gene Expression Analysis using Markov Chains extracted from RNNs
This paper present a new approach for the analysis of gene expres- sion, by extracting a Markov Chain from trained Recurrent Neural Networks (RNNs). A lot of microarray data is being generated, since array technologies have been widely used to monitor simultaneously the expression pattern of...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Centro Latinoamericano de Estudios en Informática
2007-12-01
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Series: | CLEI Electronic Journal |
Online Access: | http://clei.org/cleiej-beta/index.php/cleiej/article/view/280 |