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Ab-initio gene finding using machine learning

MPS-Authors
/persons/resource/persons84204

Schweikert,  G
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons229087

Zeller,  G
Max Planck Institute for Developmental Biology, Max Planck Society;

/persons/resource/persons84331

Zien,  A
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84118

Ong,  CS
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84960

Sonnenburg,  S
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84153

Rätsch,  G
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

External Resource

http://raetschlab.org:10080/nipscompbio/previous/MLCB2006/schedule06
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Citation

Schweikert, G., Zeller, G., Zien, A., Ong, C., de Bona, F., Sonnenburg, S., et al. (2006). Ab-initio gene finding using machine learning. Talk presented at NIPS 2006 Workshop on New Problems and Methods in Computational Biology (MLCB 2006). Vancouver, BC, Canada. 2006-12-08.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-CF59-7
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