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Table 4 Drug specificity of the top 500 genes identified using ProGENI and Pearson correlation scheme using the LCL dataset

From: Knowledge-guided gene prioritization reveals new insights into the mechanisms of chemoresistance

Treatment

Rank by ProGENI (p value)

Rank by PCC (p value)

6MP

3 (0.13)

1 (0.04)

6TG

23 (0.96)

5 (0.21)

Arac

9 (0.38)

4 (017)

Arsenic

12 (0.5)

12 (0.5)

Carboplatin

5 (0.21)

2 (0.08)

Cddp

8 (0.33)

3 (0.13)

Cladribine

2 (0.08)

3 (0.13)

Docetaxel

1 (0.04)

1 (0.04)

Doxorubicin

2 (0.08)

2 (0.08)

Epirubicin

2 (0.08)

2 (0.08)

Everolimus

12 (0.5)

2 (0.08)

Fludarabine

11 (0.46)

8 (0.33)

Gemcitabine

2 (0.08)

1 (0.04)

Hypoxia

2 (0.08)

1 (0.04)

Metformin

3 (013)

7 (0.29)

MPA

1 (0.04)

1 (0.04)

MTX

13 (0.54)

18 (0.75)

NAPQI

11 (0.46)

1 (0.04)

Oxaliplatin

1 (0.04)

1 (0.04)

Paclitaxel

1 (0.04)

1 (0.04)

Radiation

24 (1)

24 (1)

Rapamycin

2 (0.08)

2 (0.08)

TCN

11 (0.46)

23 (0.96)

TMZ

15 (0.63)

16 (0.67)

  1. A high rank (small entry) shows that the average size of intersection between genes identified using the prioritization method on the two sets of cell lines for the same drug is larger than the intersection when the drug is compared with other drugs. The geometric means of all ranks for prioritization using ProGENI and Pearson correlation are 4.5 and 3.1, respectively