Galaxy |

PTModel (version 2.8+galaxy0)

input file with positive examples:

select idxml data sets(s)

input file with negative examples:

select idxml data sets(s)

the penalty parameter of the svm:

the type of the svm (NU_SVC or C_SVC):

the nu parameter [0..1] of the svm (for nu-SVR):

the kernel type of the svm:

the degree parameter of the kernel function of the svm (POLY kernel):

length of the POBK:

k_mer length of the POBK:

sigma of the POBK:

quantity of positive samples for training (randomly chosen if smaller than available quantity):

if the input sets are redundant and the redundant peptides should occur more than once in the training set, this flag has to be set:

if the step sizes should be interpreted additively (otherwise the actual value is multiplied with the step size to get the new value:

Parameters for the grid search / cross validation:s

Parameters for the grid search / cross validation: 0

Advanced Options

Advanced Options 0

Optional outputs:

Trains a model for the prediction of proteotypic peptides from a training set.