Application of Bayesian Neural Networks to Biological Data Mining: A Case Study in DNA Sequence Classification Export

@misc{citeulike:2729374, abstract = {Biological data mining is the activity of finding significant information in protein, DNA and RNA molecules. The significant information may refer to motifs, clusters, genes, protein signatures and classification rules. This paper presents an example of biological data mining: the recognition of promoters in DNA. We propose a two-level ensemble of classifiers to recognize E. Coli promoter sequences. The firstlevel classifiers include three Bayesian neural networks that learn from three...}, author = {Jason, Qicheng M.}, citeulike-article-id = {2729374}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.35.4868}, keywords = {bio-dm}, posted-at = {2008-04-28 11:32:47}, priority = {3}, title = {Application of Bayesian Neural Networks to Biological Data Mining: A Case Study in DNA Sequence Classification}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.35.4868} }

TY - GEN ID - citeulike:2729374 L3 - citeulike-article-id:2729374 N2 - Biological data mining is the activity of finding significant information in protein, DNA and RNA molecules. The significant information may refer to motifs, clusters, genes, protein signatures and classification rules. This paper presents an example of biological data mining: the recognition of promoters in DNA. We propose a two-level ensemble of classifiers to recognize E. Coli promoter sequences. The firstlevel classifiers include three Bayesian neural networks that learn from three... TI - Application of Bayesian Neural Networks to Biological Data Mining: A Case Study in DNA Sequence Classification KW - bio-dm AU - Jason, Qicheng UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.35.4868 ER -