Using machine learning to predict gene expression and discover sequence motifs
Recently, large amounts of experimental data for complex biological systems have become available. We use tools and algorithms from machine learning to build data-driven predictive models. We first present a novel algorithm to discover gene sequence motifs associated with temporal expression pattern...
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Language: | English |
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2012
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Online Access: | https://doi.org/10.7916/D81N874M |