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 Tools    >> MHCLIG
  
Ligand-type specificity of classical and non-classical MHCI molecules
INPUT
Replace example with your sequence/s (FASTA Format)
or Upload sequence/s from file

PREDICTION MODELS
Select the prediction models you want to use
MHCI562 Models
kNN: K-nearest neighbour algorithm 99.91 % Accuracy
SVM-RBFk: Support Vector Machine (SVM) with RBF kernel 99.77 % Accuracy
MHCI556 Models
SVM-RBFk: Support Vector Machine (SVM) with RBF kernel 100.00 % Accuracy
kNN: K-nearest neighbour algorithm 99.94 % Accuracy
SVM-Pk: SVM with Polynomial Kernel 99.46 % Accuracy
MHCI500 Models
SVM-RBFk: Support Vector Machine (SVM) with RBF kernel 100.00 % Accuracy
kNN: K-nearest neighbour algorithm 100.00 % Accuracy
SVM-Pk: SVM with Polynomial Kernel 99.42 % Accuracy
BLAST

    

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Hits since November/2008
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