120 related articles for article (PubMed ID: 29788739)
21. Prediction of candidate RNA signatures for recurrent ovarian cancer prognosis by the construction of an integrated competing endogenous RNA network.
Wang X; Han L; Zhou L; Wang L; Zhang LM
Oncol Rep; 2018 Nov; 40(5):2659-2673. PubMed ID: 30226545
[TBL] [Abstract][Full Text] [Related]
22. A random forest classifier predicts recurrence risk in patients with ovarian cancer.
Cheng L; Li L; Wang L; Li X; Xing H; Zhou J
Mol Med Rep; 2018 Sep; 18(3):3289-3297. PubMed ID: 30066910
[TBL] [Abstract][Full Text] [Related]
23. Feature genes predicting the FLT3/ITD mutation in acute myeloid leukemia.
Li C; Zhu B; Chen J; Huang X
Mol Med Rep; 2016 Jul; 14(1):89-94. PubMed ID: 27177049
[TBL] [Abstract][Full Text] [Related]
24. Mixture classification model based on clinical markers for breast cancer prognosis.
Zeng T; Liu J
Artif Intell Med; 2010; 48(2-3):129-37. PubMed ID: 20005686
[TBL] [Abstract][Full Text] [Related]
25. Identification of recurrence-related genes by integrating microRNA and gene expression profiling of gastric cancer.
Yan Z; Xiong Y; Xu W; Li M; Cheng Y; Chen F; Ding S; Xu H; Zheng G
Int J Oncol; 2012 Dec; 41(6):2166-74. PubMed ID: 23007704
[TBL] [Abstract][Full Text] [Related]
26. Regulatory network of circRNA-miRNA-mRNA contributes to the histological classification and disease progression in gastric cancer.
Cheng J; Zhuo H; Xu M; Wang L; Xu H; Peng J; Hou J; Lin L; Cai J
J Transl Med; 2018 Aug; 16(1):216. PubMed ID: 30068360
[TBL] [Abstract][Full Text] [Related]
27. THBS4 predicts poor outcomes and promotes proliferation and metastasis in gastric cancer.
Chen X; Huang Y; Wang Y; Wu Q; Hong S; Huang Z
J Physiol Biochem; 2019 Feb; 75(1):117-123. PubMed ID: 30746617
[TBL] [Abstract][Full Text] [Related]
28. MiR 21-5p as a predictor of recurrence in young gastric cancer patients.
Park SK; Park YS; Ahn JY; Do EJ; Kim D; Kim JE; Jung K; Byeon JS; Ye BD; Yang DH; Park SH; Hwang SW; Jung HY; Myung SJ
J Gastroenterol Hepatol; 2016 Aug; 31(8):1429-35. PubMed ID: 26824898
[TBL] [Abstract][Full Text] [Related]
29. Prediction of feature genes in trauma patients with the TNF rs1800629 A allele using support vector machine.
Chen G; Han N; Li G; Li X; Li G; Liu Y; Wu W; Wang Y; Chen Y; Sun G; Li Z; Li Q
Comput Biol Med; 2015 Sep; 64():24-9. PubMed ID: 26117649
[TBL] [Abstract][Full Text] [Related]
30. Gene expression profiles reveal key genes for early diagnosis and treatment of adamantinomatous craniopharyngioma.
Yang J; Hou Z; Wang C; Wang H; Zhang H
Cancer Gene Ther; 2018 Oct; 25(9-10):227-239. PubMed ID: 29681617
[TBL] [Abstract][Full Text] [Related]
31. Identification of gene markers in the development of smoking-induced lung cancer.
Yang Z; Zhuan B; Yan Y; Jiang S; Wang T
Gene; 2016 Jan; 576(1 Pt 3):451-7. PubMed ID: 26518718
[TBL] [Abstract][Full Text] [Related]
32. Combinations of gene ontology and pathway characterize and predict prognosis genes for recurrence of gastric cancer after surgery.
Fan H; Guo Z; Wang C
DNA Cell Biol; 2015 Sep; 34(9):579-87. PubMed ID: 26154702
[TBL] [Abstract][Full Text] [Related]
33. Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis.
Li T; Gao X; Han L; Yu J; Li H
World J Surg Oncol; 2018 Jun; 16(1):114. PubMed ID: 29921304
[TBL] [Abstract][Full Text] [Related]
34. NCC-AUC: an AUC optimization method to identify multi-biomarker panel for cancer prognosis from genomic and clinical data.
Zou M; Liu Z; Zhang XS; Wang Y
Bioinformatics; 2015 Oct; 31(20):3330-8. PubMed ID: 26092859
[TBL] [Abstract][Full Text] [Related]
35. Discovery and validation of novel expression signature for postcystectomy recurrence in high-risk bladder cancer.
Mitra AP; Lam LL; Ghadessi M; Erho N; Vergara IA; Alshalalfa M; Buerki C; Haddad Z; Sierocinski T; Triche TJ; Skinner EC; Davicioni E; Daneshmand S; Black PC
J Natl Cancer Inst; 2014 Nov; 106(11):. PubMed ID: 25344601
[TBL] [Abstract][Full Text] [Related]
36. Combination of TNM staging and pathway based risk score models in patients with gastric cancer.
Zhou YY; Kang YT; Chen C; Xu FF; Wang HN; Jin R
J Cell Biochem; 2018 Apr; 119(4):3608-3617. PubMed ID: 29231991
[TBL] [Abstract][Full Text] [Related]
37. Recurrence-associated gene signature optimizes recurrence-free survival prediction of colorectal cancer.
Tian X; Zhu X; Yan T; Yu C; Shen C; Hu Y; Hong J; Chen H; Fang JY
Mol Oncol; 2017 Nov; 11(11):1544-1560. PubMed ID: 28796930
[TBL] [Abstract][Full Text] [Related]
38. A novel scoring system for gastric cancer risk assessment based on the expression of three CLIP4 DNA methylation-associated genes.
Hu C; Zhou Y; Liu C; Kang Y
Int J Oncol; 2018 Aug; 53(2):633-643. PubMed ID: 29901187
[TBL] [Abstract][Full Text] [Related]
39. Mutual information network-based support vector machine strategy identifies salivary biomarkers in gastric cancer.
Xu YG; Cheng M; Zhang X; Sun SH; Bi WM
J BUON; 2017; 22(1):119-125. PubMed ID: 28365944
[TBL] [Abstract][Full Text] [Related]
40. Comparative transcriptome analysis between metastatic and non-metastatic gastric cancer reveals potential biomarkers.
Feng D; Ye X; Zhu Z; Wei Z; Cai Q; Wang Y
Mol Med Rep; 2015 Jan; 11(1):386-92. PubMed ID: 25334039
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]