Table 4

Prediction for chemoresistance in the proof-of-principle test set

Sample ID

Feature selection P < 0.05

Feature selection P < 0.01

Predictive

Index

Percentile1

Prediction

For

Pretreatment

Sample2

Overall

Prediction3

Predictive

Index

Percentile

Prediction

for

Pretreatment

Sample

Overall

Prediction


1 pre

39%

low

incorrect

35%

low

incorrect

1 post

22%

24%

2 pre

48%

low

correct

49%

low

correct

2 post

79%

77%

3 pre

55%

low

correct

46%

low

correct

3 post

73%

77%

4 pre

13%

low

correct

24%

low

correct

4 post

72%

73%

5 pre

31%

low

correct

33%

low

correct

5 post

48%

46%

6 pre

13%

low

correct

27%

low

correct

6 post

16%

66%

7 pre

7%

low

correct

12%

low

correct

7 post

66%

57%

8 pre

52%

low

incorrect

50%

low

incorrect

8 post

17%

24%


1The predictive index was computed for each sample by this supervised principal component method, where a high value of the predictive index corresponds to a rapid progression after chemotherapy (i.e., short TTP). If the predictive index of a sample in the test set corresponded to the median predictive index of the training set, the sample was assigned a 50% predictive index.

2The risk was predicted low, if predictive index percentile of the pretreatment sample was less than 67%

3The prediction was considered correct if post-treatment samples were assigned a higher predictive index than pre-treatment samples.

Kim et al. BMC Medical Genomics 2011 4:79   doi:10.1186/1755-8794-4-79

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