Examples

Screenshots

As everyone likes screenshots, we have produced one for each interface: SHOGUN with Octave, Matlab, Python and R. Click on the link for higher resolution images.


Applications

We have successfully used this toolbox to tackle the following sequence analysis problems: Protein Super Family classification, Splice Site Prediction [10] [15] [16], Interpreting the SVM Classifier [13] [14], Splice Form Prediction [10], Alternative Splicing [11] and Promotor Prediction [17]. Some of them come with no less than 10 million training examples, others with 7 billion test examples. A graphical example is written digit recognition as shown below:


Publications and Presentations

We have presented shogun at numerous occassions and provide additional material below

  • useR!2006 - Slides
  • ISMB / BOSC 2006 - Slides
  • useR!2010 - Slides
  • MLOSS 2010 - Video Lecture, Slides
  • Europython 2010 - Video Lecture, Slides and Demo
  • Scipy 2010 - Video Lecture, Slides
  • JMLR 2010 - Supplementary Material


What's New

Feb. 17, 2014 -> SHOGUN 3.2.0
Jan. 6, 2014 -> SHOGUN 3.1.1
Jan. 5, 2014 -> SHOGUN 3.1.0
Oct. 28, 2013 -> SHOGUN 3.0.0
March 17, 2013 -> SHOGUN 2.1.0
Sept. 1, 2012 -> SHOGUN 2.0.0
Dec. 1, 2011 -> SHOGUN 1.1.0