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1
Zhang D , Li Y , Yang S , Wang M , Yao J , Zheng Y , Deng Y , Li N , Wei B , Wu Y , Zhai Z , Dai Z , Kang H . Identification of a glycolysis-related gene signature for survival prediction of ovarian cancer patients. Cancer Med 2021;10 :8222-37. [PMID: 34609082 DOI: 10.1002/cam4.4317 ] [ Reference Citation Analysis ]
2
Wang L , Li X . Identification of an energy metabolism‑related gene signature in ovarian cancer prognosis. Oncol Rep 2020;43 :1755-70. [PMID: 32186777 DOI: 10.3892/or.2020.7548 ] [ Cited by in Crossref: 5] [ Cited by in F6Publishing: 8 ] [ Article Influence: 2.5 ] [ Reference Citation Analysis ]
3
Zhao X , He M . Comprehensive pathway-related genes signature for prognosis and recurrence of ovarian cancer. PeerJ 2020;8 :e10437. [PMID: 33344083 DOI: 10.7717/peerj.10437 ] [ Cited by in Crossref: 1] [ Cited by in F6Publishing: 1 ] [ Article Influence: 0.5 ] [ Reference Citation Analysis ]
4
Liu J , Lv D , Wang X , Wang R , Li X . Systematic Profiling of Alternative Splicing Events in Ovarian Cancer. Front Oncol 2021;11 :622805. [PMID: 33763357 DOI: 10.3389/fonc.2021.622805 ] [ Reference Citation Analysis ]
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