Bioinformatics analysis to screen the key prognostic genes in ovarian cancer
Abstract Background Ovarian cancer (OC) is a gynecological oncology that has a poor prognosis and high mortality. This study is conducted to identify the key genes implicated in the prognosis of OC by bioinformatic analysis. Methods Gene expression data (including 568 primary OC tissues, 17 recurren...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2017-04-01
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| Series: | Journal of Ovarian Research |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13048-017-0323-6 |