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Table 2 Accuracy of predicting IgVH mutational status with individual / combined potential biomarkers.

From: Using gene co-expression network analysis to predict biomarkers for chronic lymphocytic leukemia

Genes

Prediction Accuracy

Sub-cellular location

SH2D1A

57.32%

cytoplasmic

IL2RB

68.84%

membrane

KLRK1

63.67%

membrane

CD247

66.03%

membrane

GZMB

57.13%

secreted

CD3G

62.52%

membrane

CD3D

64.27%

membrane

GZMK

57.58%

secreted

CD8A

68.31%

membrane

NKG7

64.94%

membrane

ZAP70

68.46%

cytoplasmic

LAG3

59.53%

membrane

ZAP70+IL2RB

73.22%

-

ZAP70+IL2RB+CD8A

74.62%

-

  1. The names with bold letter indicate predicting accuracy above 65%. A linear classifier was used. The cross-validation was carried out with 20% holdout. Each test was carried out independently.