ccSVM – Correcting Support Vector Machines for Confounding Factors in Biological data Classification

ccSVM

:: DESCRIPTION

ccSVM (confounder correcting SVM) improves tumor diagnosis based on samples from different labs, tuberculosis diagnosis in patients of varying age, ethnicity and gender, and phenotype prediction in the presence of population structure and outperforms state-of-the-art methods in terms of prediction accuracy.

Advertisement

::DEVELOPER

Machine Learning and Computational Biology Research Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/ MacOsX
  • Matlab

:: DOWNLOAD

  ccSVM

:: MORE INFORMATION

Citation

Bioinformatics. 2011 Jul 1;27(13):i342-8. doi: 10.1093/bioinformatics/btr204.
ccSVM: correcting Support Vector Machines for confounding factors in biological data classification.
Li L, Rakitsch B, Borgwardt K.