131 related articles for article (PubMed ID: 31897125)
1. Definition of a novel vascular invasion-associated multi-gene signature for predicting survival in patients with hepatocellular carcinoma.
Yi B; Tang C; Tao Y; Zhao Z
Oncol Lett; 2020 Jan; 19(1):147-158. PubMed ID: 31897125
[TBL] [Abstract][Full Text] [Related]
2. Mining featured biomarkers associated with vascular invasion in HCC by bioinformatics analysis with TCGA RNA sequencing data.
Zhang R; Ye J; Huang H; Du X
Biomed Pharmacother; 2019 Oct; 118():109274. PubMed ID: 31545220
[TBL] [Abstract][Full Text] [Related]
3. A 10-gene prognostic methylation signature for stage I-III cervical cancer.
Cai S; Yu X; Gu Z; Yang Q; Wen B; Sheng J; Guan R
Arch Gynecol Obstet; 2020 May; 301(5):1275-1287. PubMed ID: 32274635
[TBL] [Abstract][Full Text] [Related]
4. A 4-gene prognostic signature predicting survival in hepatocellular carcinoma.
Chen PF; Li QH; Zeng LR; Yang XY; Peng PL; He JH; Fan B
J Cell Biochem; 2019 Jun; 120(6):9117-9124. PubMed ID: 30582205
[TBL] [Abstract][Full Text] [Related]
5. A 21‑gene Support Vector Machine classifier and a 10‑gene risk score system constructed for patients with gastric cancer.
Jiang H; Gu J; Du J; Qi X; Qian C; Fei B
Mol Med Rep; 2020 Jan; 21(1):347-359. PubMed ID: 31939629
[TBL] [Abstract][Full Text] [Related]
6. A Novel Ten-Gene Signature Predicting Prognosis in Hepatocellular Carcinoma.
Zhou T; Cai Z; Ma N; Xie W; Gao C; Huang M; Bai Y; Ni Y; Tang Y
Front Cell Dev Biol; 2020; 8():629. PubMed ID: 32760725
[TBL] [Abstract][Full Text] [Related]
7. Identification of a five-long non-coding RNA signature to improve the prognosis prediction for patients with hepatocellular carcinoma.
Zhao QJ; Zhang J; Xu L; Liu FF
World J Gastroenterol; 2018 Aug; 24(30):3426-3439. PubMed ID: 30122881
[TBL] [Abstract][Full Text] [Related]
8. Identification and Validation of a Prognostic lncRNA Signature for Hepatocellular Carcinoma.
Li W; Chen QF; Huang T; Wu P; Shen L; Huang ZL
Front Oncol; 2020; 10():780. PubMed ID: 32587825
[No Abstract] [Full Text] [Related]
9. A microRNA expression profile for vascular invasion can predict overall survival in hepatocellular carcinoma.
Lin Z; Cai YJ; Chen RC; Chen BC; Zhao L; Xu SH; Wang XD; Song M; Wu JM; Wang YQ; Zhou MT; Shi KQ
Clin Chim Acta; 2017 Jun; 469():171-179. PubMed ID: 28365450
[TBL] [Abstract][Full Text] [Related]
10. An eight-mRNA signature outperforms the lncRNA-based signature in predicting prognosis of patients with glioblastoma.
Gong Z; Hong F; Wang H; Zhang X; Chen J
BMC Med Genet; 2020 Mar; 21(1):56. PubMed ID: 32188434
[TBL] [Abstract][Full Text] [Related]
11. An Integrated Model Based on a Six-Gene Signature Predicts Overall Survival in Patients With Hepatocellular Carcinoma.
Li W; Lu J; Ma Z; Zhao J; Liu J
Front Genet; 2019; 10():1323. PubMed ID: 32010188
[No Abstract] [Full Text] [Related]
12. Identification of Energy Metabolism Genes for the Prediction of Survival in Hepatocellular Carcinoma.
Chen Q; Li F; Gao Y; Xu G; Liang L; Xu J
Front Oncol; 2020; 10():1210. PubMed ID: 32903581
[TBL] [Abstract][Full Text] [Related]
13. Development and Validation of a Novel Gene Signature for Predicting the Prognosis by Identifying m5C Modification Subtypes of Cervical Cancer.
Yu J; Liang LL; Liu J; Liu TT; Li J; Xiu L; Zeng J; Wang TT; Wang D; Liang LJ; Xie DW; Chen DX; An JS; Wu LY
Front Genet; 2021; 12():733715. PubMed ID: 34630524
[No Abstract] [Full Text] [Related]
14. Development of a five-gene signature as a novel prognostic marker in ovarian cancer.
Wang R; Ye XH; Zhao XL; Liu JL; Zhang CY
Neoplasma; 2019 May; 66(3):343-349. PubMed ID: 30569721
[TBL] [Abstract][Full Text] [Related]
15. Identification of risk genes associated with myocardial infarction based on the recursive feature elimination algorithm and support vector machine classifier.
Yang X
Mol Med Rep; 2018 Jan; 17(1):1555-1560. PubMed ID: 29138828
[TBL] [Abstract][Full Text] [Related]
16. Construction and Validation of a 9-Gene Signature for Predicting Prognosis in Stage III Clear Cell Renal Cell Carcinoma.
Wu J; Jin S; Gu W; Wan F; Zhang H; Shi G; Qu Y; Ye D
Front Oncol; 2019; 9():152. PubMed ID: 30941304
[No Abstract] [Full Text] [Related]
17. Identification of Potential Prognostic Long Non-Coding RNA Biomarkers for Predicting Survival in Patients with Hepatocellular Carcinoma.
Liao X; Yang C; Huang R; Han C; Yu T; Huang K; Liu X; Yu L; Zhu G; Su H; Wang X; Qin W; Deng J; Zeng X; Ye X; Peng T
Cell Physiol Biochem; 2018; 48(5):1854-1869. PubMed ID: 30092592
[TBL] [Abstract][Full Text] [Related]
18. An aberrant DNA methylation signature for predicting hepatocellular carcinoma.
Zhang R; Li Y; Yu H; Liu L; Zhu C; Zuo S; Chen Z
Ann Transl Med; 2020 Dec; 8(24):1667. PubMed ID: 33490179
[TBL] [Abstract][Full Text] [Related]
19. Random-forest algorithm based biomarkers in predicting prognosis in the patients with hepatocellular carcinoma.
Guo L; Wang Z; Du Y; Mao J; Zhang J; Yu Z; Guo J; Zhao J; Zhou H; Wang H; Gu Y; Li Y
Cancer Cell Int; 2020; 20():251. PubMed ID: 32565735
[TBL] [Abstract][Full Text] [Related]
20. A novel seven-lncRNA signature for prognosis prediction in hepatocellular carcinoma.
Yan J; Zhou C; Guo K; Li Q; Wang Z
J Cell Biochem; 2019 Jan; 120(1):213-223. PubMed ID: 30206981
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
