678 related articles for article (PubMed ID: 29973580)
21. The identification of a common different gene expression signature in patients with colorectal cancer.
Zhao ZW; Fan XX; Yang LL; Song JJ; Fang SJ; Tu JF; Chen MJ; Zheng LY; Wu FZ; Zhang DK; Ying XH; Ji JS
Math Biosci Eng; 2019 Apr; 16(4):2942-2958. PubMed ID: 31137244
[TBL] [Abstract][Full Text] [Related]
22. Identification of latent biomarkers in connection with progression and prognosis in oral cancer by comprehensive bioinformatics analysis.
Reyimu A; Chen Y; Song X; Zhou W; Dai J; Jiang F
World J Surg Oncol; 2021 Aug; 19(1):240. PubMed ID: 34384424
[TBL] [Abstract][Full Text] [Related]
23. Identification and Integrated Analysis of Key Biomarkers for Diagnosis and Prognosis of Non-Small Cell Lung Cancer.
Liu X; Liu X; Li J; Ren F
Med Sci Monit; 2019 Dec; 25():9280-9289. PubMed ID: 31805030
[TBL] [Abstract][Full Text] [Related]
24. Identification of potential biomarkers with colorectal cancer based on bioinformatics analysis and machine learning.
Hammad A; Elshaer M; Tang X
Math Biosci Eng; 2021 Oct; 18(6):8997-9015. PubMed ID: 34814332
[TBL] [Abstract][Full Text] [Related]
25. Neurexophilin and PC-esterase domain family member 4 (NXPE4) and prostate androgen-regulated mucin-like protein 1 (PARM1) as prognostic biomarkers for colorectal cancer.
Liu YR; Hu Y; Zeng Y; Li ZX; Zhang HB; Deng JL; Wang G
J Cell Biochem; 2019 Oct; 120(10):18041-18052. PubMed ID: 31297877
[TBL] [Abstract][Full Text] [Related]
26. Prediction of Target Genes and Pathways Associated With Cetuximab Insensitivity in Colorectal Cancer.
Yu C; Hong H; Lu J; Zhao X; Hu W; Zhang S; Zong Y; Mao Z; Li J; Wang M; Feng B; Sun J; Zheng M
Technol Cancer Res Treat; 2018 Jan; 17():1533033818806905. PubMed ID: 30336768
[TBL] [Abstract][Full Text] [Related]
27. RNA Binding Protein-Based Model for Prognostic Prediction of Colorectal Cancer.
Li T; Hui W; Halike H; Gao F
Technol Cancer Res Treat; 2021; 20():15330338211019504. PubMed ID: 34080453
[TBL] [Abstract][Full Text] [Related]
28. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
[TBL] [Abstract][Full Text] [Related]
29. Integrated analysis of RNA-binding proteins in human colorectal cancer.
Fan X; Liu L; Shi Y; Guo F; Wang H; Zhao X; Zhong D; Li G
World J Surg Oncol; 2020 Aug; 18(1):222. PubMed ID: 32828126
[TBL] [Abstract][Full Text] [Related]
30. Analysis of genes associated with prognosis of lung adenocarcinoma based on GEO and TCGA databases.
Yu Y; Tian X
Medicine (Baltimore); 2020 May; 99(19):e20183. PubMed ID: 32384511
[TBL] [Abstract][Full Text] [Related]
31. A five-immune-related genes-based prognostic signature for colorectal cancer.
Zhu L; Wang H; Wang Z
Int Immunopharmacol; 2020 Nov; 88():106866. PubMed ID: 32781411
[TBL] [Abstract][Full Text] [Related]
32. Identification of Hub Genes in High-Grade Serous Ovarian Cancer Using Weighted Gene Co-Expression Network Analysis.
Wu M; Sun Y; Wu J; Liu G
Med Sci Monit; 2020 Mar; 26():e922107. PubMed ID: 32180586
[TBL] [Abstract][Full Text] [Related]
33. Differentially Expressed Gene Screening, Biological Function Enrichment, and Correlation with Prognosis in Non-Small Cell Lung Cancer.
Huang H; Huang Q; Tang T; Zhou X; Gu L; Lu X; Liu F
Med Sci Monit; 2019 Jun; 25():4333-4341. PubMed ID: 31181055
[TBL] [Abstract][Full Text] [Related]
34. Identification of potential therapeutic targets associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis.
Sharma A; Yadav D; Rao P; Sinha S; Goswami D; Rawal RM; Shrivastava N
Comput Biol Med; 2022 Jul; 146():105688. PubMed ID: 35680454
[TBL] [Abstract][Full Text] [Related]
35. Identification of differentially expressed genes between triple and non-triple-negative breast cancer using bioinformatics analysis.
Zhai Q; Li H; Sun L; Yuan Y; Wang X
Breast Cancer; 2019 Nov; 26(6):784-791. PubMed ID: 31197620
[TBL] [Abstract][Full Text] [Related]
36. Identifying hepatocellular carcinoma-related hub genes by bioinformatics analysis and CYP2C8 is a potential prognostic biomarker.
Li C; Zhou D; Jiang X; Liu M; Tang H; Mei Z
Gene; 2019 May; 698():9-18. PubMed ID: 30825595
[TBL] [Abstract][Full Text] [Related]
37. Employing bioinformatics analysis to identify hub genes and microRNAs involved in colorectal cancer.
Ebadfardzadeh J; Kazemi M; Aghazadeh A; Rezaei M; Shirvaliloo M; Sheervalilou R
Med Oncol; 2021 Aug; 38(9):114. PubMed ID: 34390411
[TBL] [Abstract][Full Text] [Related]
38. Investigation of Potential Mechanisms Associated with Non-small Cell Lung Cancer.
Shi Y; Zhu S; Yang J; Shao M; Ding W; Jiang W; Sun X; Yao N
J Comput Biol; 2020 Sep; 27(9):1433-1442. PubMed ID: 32048869
[TBL] [Abstract][Full Text] [Related]
39. Long non-coding RNA profile study identifies a metabolism-related signature for colorectal cancer.
Lu Y; Wang W; Liu Z; Ma J; Zhou X; Fu W
Mol Med; 2021 Aug; 27(1):83. PubMed ID: 34344319
[TBL] [Abstract][Full Text] [Related]
40. Delineating the underlying molecular mechanisms and key genes involved in metastasis of colorectal cancer via bioinformatics analysis.
Qi C; Chen Y; Zhou Y; Huang X; Li G; Zeng J; Ruan Z; Xie X; Zhang J
Oncol Rep; 2018 May; 39(5):2297-2305. PubMed ID: 29517105
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
