Identification and Validation of a Novel Immune Infiltration-Based Diagnostic Score for Early Detection of Hepatocellular Carcinoma by Machine-Learning Strategies

Table 1

Details of the multiple datasets included in this study.

Datasets	Platform	Sample size (tumor/control)	Application
GSE121248	GPL570 [HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array	107 (70/37)	Identification of DEGs
GSE45267	GPL570 [HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array	87 (48/39)	Identification of DEGs
GSE65372	GPL14951 Illumina HumanHT-12 WG-DASL V4.0 R2 expression beadchip	54 (39/15)	Identification of DEGs
GSE51401	GPL570 [HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array	64 (30/34)	Identification of DEGs
GSE14520	GPL571 [HG-U133A_2] Affymetrix Human Genome U133A 2.0 Array	43 (22/21)	Identification of DEGs
GSE14520	GPL3921 [HT_HG-U133A] Affymetrix HT Human Genome U133A Array	445 (225/220)	Validation of DEGs
ICGC-JP cohort		445 (243/202)	Validation of DEGs
TCGA-HILC		424 (374/50)	Validation of DEGs