Ovarian cancer causes high mortality rate worldwide, and despite numerous attempts, the outcome for patients with ovarian cancer are still not well improved. Microarray based gene expressional analysis provides with valuable information for discriminating functional genes in ovarian cancer development and progression. However, due to the differences in experimental design, the results varied significantly across individual datasets.

中文翻译：

---

基于荟萃分析的基因表达谱揭示了卵巢癌中的功能基因。

卵巢癌在世界范围内导致高死亡率，尽管进行了多次尝试，但卵巢癌患者的预后仍未得到很好的改善。基于微阵列的基因表达分析提供了有价值的信息，可用于区分卵巢癌发生和发展中的功能基因。但是，由于实验设计的差异，各个数据集的结果差异很大。