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Table 6 Genes selected by the iterative BMA algorithm and their corresponding posterior probabilities, univariate log likelihood rankings, and descriptions on the DLBCL dataset (p = 1000, nbest = 50, maxNvar = 25, and cutPoint = 60).

From: Iterative Bayesian Model Averaging: a method for the application of survival analysis to high-dimensional microarray data

Selected genes

Posterior Probability

(%)

Univariate Cox ranking

Gene description

BC012161

100.0

1

septin 1

D42043

100.0

4

KIAA0084 protein

X53505

100.0

41

ribosomal protein S12

BF129543

100.0

49

ESTs, weakly similar to A47224 thyroxine-binding globulin precursor

D13666

100.0

73

osteoblast specific factor 2 (fasciclin I-like)

M83664

100.0

93

MHC, class II, DP beta I

AK000978

100.0

101

hypothetical protein FLJ10116

AF009615

100.0

116

a disintegrin and metallo- proteinase domain 10

AK027711

100.0

123

hypothetical protein MGC3234

LC_24015

100.0

129

no description available

K01144

100.0

140

CD74 antigen (invariant polypeptide of MHC, class II antigen associated)

U68418

100.0

181

branched chain aminotransferase 2

D88532

100.0

213

phosphoinositide-3-kinase, regulatory subunit, polypeptide 3 (p55, gamma)

NM_022551

100.0

223

ribosomal protein S18

U18259

100.0

242

MHC, class II transactivator

X64707

100.0

243

ribosomal protein L13

NM_006312

100.0

278

nuclear receptor co- repressor 2

M58297

100.0

385

zinc finger protein 42 (myeloid- specific retinoic acid-responsive)

LC_26524

100.0

473

no description available

AK022743

100.0

499

hypothetical protein FLJ12681

NM_005347

100.0

518

heat shock 70 kDa protein 5 (glucose-regulated protein 78 kDa)

D83492

100.0

632

EphB

AK025754

100.0

652

HP1-BP74

AA747694

81.7

885

ESTs, weakly similar to ALU SUBF J

U70981

9.2

1000

interleukin 13 receptor, alpha 2

  1. The genes are sorted in descending order of their posterior probabilities and ascending order of their univariate rankings.