Fig. 1
From: Gene expression profiling of ovarian carcinomas and prognostic analysis of outcome
Box-plots of the distribution of gene expression values for analysis of ovarian cancer gene expression profiling (with a p-value of 0.05 and FC of 2.0). The abscissa represents each candidate IDs, while the vertical axis marks the data of genome expression of related patients, all the datein genome expression profiling are the mean value of many experiment locations. a GSE12470 dataset, 13356 genes in 53 samples (10 normal, 35 advanced, 8 early), (b) GSE14764dataset, 80 samples in different types of ovarian cancer and 13046 genes, C) GSE49997 dataset, 204 samples in various epithelial ovarian cancer and 16150 genes, D) GSE63885 dataset, 101 samples in different ovarian cancer and mRNA and 20693 genes. a, b, c are consisted of gene-expression data, while (d) reveals mRNA expression levels. Apparently, most genes’ expression values are approximately in each sample