Classification of Multiple Cancer Types by MSVM using Gene
Expression Data
Table
References
Details of Multicategory Support Vector Machines, GACV, and
illustrations can be found in:
-
Multicategory Support Vector Machines, Theory, and Application to the
Classification of Microarray Data and Satellite Radiance Data (ps) (pdf) - Y. Lee, Y. Lin, and G. Wahba,
September 2002, Technical Report 1064. Department of Statistics,
University of Wisconsin-Madison. A revised version has appeared in
Journal of the American Statistical Association, vol. 99, 67-81, 2004.
-
Classification of Multiple Cancer Types by Multicategory Support Vector
Machines Using Gene Expression Data (ps) (pdf)
- Y. Lee and C.-K. Lee, April 2002. Technical Report 1051r. Department
of Statistics, University of Wisconsin-Madison. Detailed early
version of the paper.
Methods
MSVM implementation for computations in the paper was done via
MATLAB 6.1 with an interface to PATH 3.0. Research codes are available
here
for the record.
- For more information on PATH solver, go to Complementary Problem Net and
follow link to Software
related to CPNET
- Implementation of MSVM in R with feature selection functionality is
available at Software page.
- Off-the-shelf package possibly for large scale problems is under
development now.
Contact
:Yoonkyung Lee
Department of Statistics
The Ohio State University