Skip to main content

Table 9 A summary of the results from the application of the iterative BMA algorithm to the DLBCL dataset, the partial non-overlapping breast cancer dataset (n = 234), and the full overlapping breast cancer dataset (n = 295).

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

 

Number of Genes

Number of Models

p-value

chi-square

DLBCL

25

3

1.389e-03

10.221

Breast Cancer

n = 234

(15 genes)

15

84

7.264e-05

15.714

Breast Cancer

n = 295

(15 genes)

15

84

3.382e-10

39.441

Breast Cancer

n = 234

(5 genes)

5

2

9.063e-06

19.699

Breast Cancer

n = 295

(5 genes)

5

2

1.143e-10

41.559