SOX5 is involved in balanced MITF regulation in human melanoma cells

BMC Medical Genomics

Table 1 Results of the bottom-up approach for modeling MITF regulation using Mixed Integer Linear Programming

No. of TFs	Predicted TFs	Performance*
1	SOX5	0.83
2	ESR2, SOX5	0.87
3	ESR2, PAX2, SOX5	0.88
4	ESR2, NFKB1.1, PAX2, SOX5	0.89
5	ESR2, NFKB1.1, PAX2, SOX5, ZEB1	0.90
6	ESR2, NFKB1.1, ONECUT2, POU3F2, SOX5, ZEB1	0.91
7	ESR2, NFKB1.1, ONECUT2, PAX2, POU3F2, SOX5, ZEB1	0.91
8	ESR2, GLI2, NFKB1.1, ONECUT2, PAX3, POU3F2, SOX5, ZEB1	0.91
9	ESR2, GLI2, NFKB1.1, ONECUT2, PAX2, PAX3, POU3F2, SOX5, ZEB1	0.90
10	ESR2, GLI2, IRF1, NFKB1.1, ONECUT2, PAX2, PAX3, POU3F2, SOX5, ZEB1	0.92
11	BHLHE40, ESR2, GLI2, IRF1, NFKB1.1, ONECUT2, PAX2, PAX3, POU3F2, SOX5, ZEB1	0.92
12	ESR2, LEF1, NFKB1.1, ONECUT2, PAX2, PAX3, PAX6, PDX1, POU3F2, SOX5, SOX9, ZEB1	0.92
13	ESR2, LEF1, NFKB1.1, ONECUT2, PAX2, PAX3, PAX6, PDX1, POU3F2, SOX5, SOX9, TCF4, ZEB1	0.91
14	BHLHE40, ESR2, LEF1, NFKB1.1, ONECUT2, PAX2, PAX3, PAX6, PDX1, POU3F2, SOX5, SOX9, TCF4, ZEB1	0.91
15	BHLHE40, ESR2, GLI2, LEF1, NFKB1.1, ONECUT2, PAX2, PAX3, PAX6, PDX1, POU3F2, SOX5, SOX9, TCF4, ZEB1	0.90
16	BHLHE40, ESR2, GLI2, LEF1, NFKB1.1, ONECUT2, PAX2, PAX3, PAX6, PDX1, POU3F2, SOX10, SOX5, SOX9, TCF4, ZEB1	0.89
17	BHLHE40, ESR2, GLI2, LEF1, NFKB1.1, ONECUT2, PAX2, PAX3, PAX6, PDX1, POU3F2, SOX10, SOX2, SOX5, SOX9, TCF4, ZEB1	0.89
18	BHLHE40, ESR2, GLI2, IRF1, LEF1, NFKB1.1, ONECUT2, PAX2, PAX3, PAX6, PDX1, POU3F2, SOX10, SOX2, SOX5, SOX9, TCF4, ZEB1	0.87
19	BHLHE40, CREB1, ESR2, GLI2, IRF1, LEF1, NFKB1.1, ONECUT2, PAX2, PAX3, PAX6, PDX1, POU3F2, SOX10, SOX2, SOX5, SOX9, TCF4, ZEB1	0.86

*Averaged Pearson correlation of the model from the training data compared to the validation data

ISSN: 1755-8794