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Table 11 Summary of external datasets used for biomarker validation across omics types and BRCA and KIPAN cancer subtypes

From: Amogel: a multi-omics classification framework using associative graph neural networks with prior knowledge for biomarker identification

Dataset

Omic type

Sample count per subtype

Tested biomarkers

p value

GSE1992

mRNA

LumA(34), LumB(19), HER(12), Basal(14), Normal(5)

RAET1L

3.9045e-02

GSE19783

miRNA

LumA(41), LumB(12), HER (17), Basal (15), Normal(10)

miR-934

3.1204e-05

GSE70567

DNA Methy.

LumA(41), LumB (30), HER (32), Basal(44), Normal (11)

MIR563

2.9372e-05

GSE20685

mRNA

LumA(71), LumB(52), HER(51), Basal(31), Normal(39)

GATA3

6.2580e-60

FOXC1

8.6821e-54

TBC1D9

1.3633e-45

ESR1

1.0325e-03

C6orf97

5.2774e-49

FOXA1

6.3436e-74

AGR3

2.9687e-59

GSE15641

mRNA

KIRP(11), KIRC(32), KICH(6)

TSPAN5

2.0067e-08

MTUS1

1.7907e-05

PLVAP

2.7228e-06

VEGFA

5.5400e-07

PRDM16

7.9022e-03

GSE48008

miRNA

KIRP(4), KIRC(5), KICH(27)

miR-122

9.8094e-01

miR-126

3.9823e-01