Table 2

The performance of the algorithm for different classification studies

Datasets

θtest

ρS(i) based on <a onClick="popup('http://www.biomedcentral.com/1471-2164/9/S2/S18/mathml/M7','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2164/9/S2/S18/mathml/M7">View MathML</a>

ρall(i) based on <a onClick="popup('http://www.biomedcentral.com/1471-2164/9/S2/S18/mathml/M2','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2164/9/S2/S18/mathml/M2">View MathML</a>(Ai)

<a onClick="popup('http://www.biomedcentral.com/1471-2164/9/S2/S18/mathml/M5','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2164/9/S2/S18/mathml/M5">View MathML</a>(Ai)


Leukemia ALL T/B cell

0.970

0.977

1.72E-02

8.28E-03

0.088

0.331

0.406

0.973

Breast

0.843

0.842

1.33E-02

8.36E-03

0.142

0.421

0.351

0.974

Carcinoma

0.983

0.981

2.96E-02

3.20E-02

0.194

0.252

0.382

0.966

Colon

0.814

0.806

2.43E-02

2.06E-02

0.750

0.755

0.673

0.978

DLBCL

0.896

0.929

8.75E-02

1.99E-02

0.441

0.514

0.716

0.982

Melanoma

0.913

0.921

1.71E-02

2.25E-02

0.129

0.463

0.272

0.957

Prostate

0.889

0.916

4.79E-02

2.27E-02

0.495

0.541

0.680

0.987

SRBCT-BL

1.000

1.000

3.63E-04

7.52E-05

0.314

0.322

0.682

0.984

SRBCT-EWS

0.956

0.986

5.06E-04

9.17E-05

0.297

0.408

0.634

0.984

SRBCT-NB

0.989

0.996

2.99E-04

6.42E-05

0.321

0.436

0.665

0.986

SRBCT-RMS

0.974

0.980

4.82E-04

8.18E-05

0.304

0.347

0.630

0.989

Lukemia AML/ALL

0.966

0.972

5.62E-03

2.38E-03

0.212

0.398

0.627

0.980


Xu et al. BMC Genomics 2008 9(Suppl 2):S18   doi:10.1186/1471-2164-9-S2-S18

Open Data