Personal tools
Home R├Ątsch Lab Supplements New Methods for Splice Site Recognition

New Methods for Splice Site Recognition

C.ElegansC.Elegans
DatasetLocality Improved Kernel SVMHMMFisher Kernel SVMTOP Kernel SVM
IP data
download (gzip (6.5MB); bzip2 (2.8MB))
Acceptor, Donor Acceptor, Donor Acceptor, Donor Acceptor, Donor model selection results
Acceptor (1MB), Donor (1MB) viewviewviewtest results
gzip (510KB)gzip (500KB)gzip (410KB)gzip (510KB)test set predictions
C.Elegans
download (gzip (6.1MB); bzip2 (5.8MB))
Acceptor tr100 tr1000 tr10000 Acceptor tr100 tr1000 tr10000 Acceptor tr100 tr1000 tr10000 Acceptor tr100 tr1000 tr10000 model selection results
Acceptor tr100 (52KB), tr1000 (52KB), tr10000 (53KB) Acceptor tr100, tr1000, tr10000 Acceptor tr100, tr1000, tr10000 Acceptor tr100, tr1000, tr10000 test results
-Acc. HMMs (55k) gzip--best models
The corresponding paper appeared in the Proceedings of the International Conference on Artificial Neural Networks, August 2002, Madrid, Spain. The paper can be downloaded from here (copyright by Springer). Also, the Master thesis (Diplom) by Sören Sonnenburg with much more details can be downloaded here: PDF, PS.
This page was last revised on May 27, 2005.
Document Actions