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  Splice Form Prediction using Machine Learning

Raetsch, G., Sonnenburg, S., Srinivasan, J., Müller, K.-R., Sommer, R., & Schölkopf, B. (2006). Splice Form Prediction using Machine Learning. Poster presented at 14th International Conference on Intelligent Systems for Molecular Biology (ISMB 2006), Fortaleza, Brazil.

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 Creators:
Raetsch, G1, Author           
Sonnenburg, S, Author           
Srinivasan, J, Author
Müller, K-R, Author           
Sommer , R2, Author
Schölkopf, B3, 4, Author           
Affiliations:
1Friedrich Miescher Laboratory, Max Planck Society, ou_2575692              
2Max Planck Institute for Developmental Biology, Max Planck Society, Max-Planck-Ring 5, 72076 Tübingen, DE, ou_2421691              
3Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
4Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

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 Abstract: Accurate ab initio gene finding is still a major challenge in computational biology. We employ cutting edge machine learning similar to Hidden-Markov-SVMs to assay and improve the accuracy of genome annotations. We applied our system on the C_elegans genome and were able to drastically improve its annotation.

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 Dates: 2006-08
 Publication Status: Published online
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Title: 14th International Conference on Intelligent Systems for Molecular Biology (ISMB 2006)
Place of Event: Fortaleza, Brazil
Start-/End Date: 2006-08-06 - 2006-08-10

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Title: 14th International Conference on Intelligent Systems for Molecular Biology (ISMB 2006)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: H-3 Start / End Page: - Identifier: -