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Table 5 GBM subtype prediction.

From: Evaluation of data discretization methods to derive platform independent isoform expression signatures for multi-class tumor subtyping

Class

PN

N

CL

M

Method

Sn

Sp

Sn

Sp

Sn

Sp

Sn

Sp

SVM

0.681

0.963

0.818

1.000

0.772

0.926

0.863

0.870

RF

0.833

0.965

0.944

1.000

0.888

0.965

0.833

0.982

NB

0.950

0.946

1.000

0.910

0.850

0.928

0.800

0.910

PAM

0.937

0.916

0.875

0.966

0.875

0.966

0.750

0.983

  1. Sensitivity (Sn) and Specificity (Sp) of the classifiers trained on the top 100 feature variables from exon-array data and tested on the independent RNA-seq data for prediction of the four GBM Subtypes.
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BMC Genomics

ISSN: 1471-2164

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