English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  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.

Item is

Files

show Files

Creators

show
hide
 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              

Content

show
hide
Free keywords: -
 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.

Details

show
hide
Language(s):
 Dates: 2006-08
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: -
 Degree: -

Event

show
hide
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

Legal Case

show

Project information

show

Source 1

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