Using Voronoi Grid and SVM Linear Regression in Drug Discovery.
A. Ammar GhaibehMikio SasakiHiroshi ChumanPublished in: CIBCB (2006)
Keyphrases
- linear regression
- drug discovery
- regression problems
- least squares
- support vector machine svm
- ridge regression
- support vector
- nonlinear regression
- pharmaceutical industry
- support vector machine
- regression methods
- virtual screening
- regression method
- biological systems
- discovery process
- early stage
- scientific data
- ls svm
- knn
- feature selection
- systems biology
- data mining tools
- kernel function
- knowledge discovery
- training set
- machine learning
- support vector regression
- kernel methods
- feature space