172 related articles for article (PubMed ID: 35490318)
21. Screening key genes and signaling pathways in colorectal cancer by integrated bioinformatics analysis.
Yu C; Chen F; Jiang J; Zhang H; Zhou M
Mol Med Rep; 2019 Aug; 20(2):1259-1269. PubMed ID: 31173250
[TBL] [Abstract][Full Text] [Related]
22. Identification and clinical validation of key genes as the potential biomarkers in colorectal adenoma.
Wang B; Zhang J; Wang X; Zhao L; Wang Y; Fan Z; Liu L; Gao W
BMC Cancer; 2023 Jan; 23(1):39. PubMed ID: 36631756
[TBL] [Abstract][Full Text] [Related]
23. Screening and validating the core biomarkers in patients with pancreatic ductal adenocarcinoma.
Li Y; Zhu YY; Dai GP; Wu DJ; Gao ZZ; Zhang L; Fan YH
Math Biosci Eng; 2019 Nov; 17(1):910-927. PubMed ID: 31731384
[TBL] [Abstract][Full Text] [Related]
24. Identification of key molecular markers in epithelial ovarian cancer by integrated bioinformatics analysis.
Qin W; Yuan Q; Liu Y; Zeng Y; Ke D; Dai X; Shuai Y; Hu J; Shi H
Taiwan J Obstet Gynecol; 2021 Nov; 60(6):983-994. PubMed ID: 34794761
[TBL] [Abstract][Full Text] [Related]
25. 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]
26.
Yang Q; Qi M; Chen Y; Tian S; Liao F; Dong W
DNA Cell Biol; 2021 Jul; 40(7):921-935. PubMed ID: 34042518
[TBL] [Abstract][Full Text] [Related]
27. Identification and verification of HCAR3 and INSL5 as new potential therapeutic targets of colorectal cancer.
Yang X; Wei W; Tan S; Guo L; Qiao S; Yao B; Wang Z
World J Surg Oncol; 2021 Aug; 19(1):248. PubMed ID: 34419055
[TBL] [Abstract][Full Text] [Related]
28. Identification of potential hub genes via bioinformatics analysis combined with experimental verification in colorectal cancer.
Zhou H; Yang Z; Yue J; Chen Y; Chen T; Mu T; Liu H; Bi X
Mol Carcinog; 2020 Apr; 59(4):425-438. PubMed ID: 32064687
[TBL] [Abstract][Full Text] [Related]
29. Construction of the miRNA-mRNA regulatory network and analysis of hub genes in oral squamous cell carcinoma.
Cui Z; Song Q; Chen Y; Yang K
Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub; 2022 Sep; 166(3):280-289. PubMed ID: 35132271
[TBL] [Abstract][Full Text] [Related]
30. Identification of Key Genes and Signaling Pathways Associated with the Progression of Gastric Cancer.
Yu C; Chen J; Ma J; Zang L; Dong F; Sun J; Zheng M
Pathol Oncol Res; 2020 Jul; 26(3):1903-1919. PubMed ID: 31848941
[TBL] [Abstract][Full Text] [Related]
31. Prediction and Validation of Hub Genes Associated with Colorectal Cancer by Integrating PPI Network and Gene Expression Data.
Xiong Y; You W; Wang R; Peng L; Fu Z
Biomed Res Int; 2017; 2017():2421459. PubMed ID: 29209625
[TBL] [Abstract][Full Text] [Related]
32. Bioinformatics-based identification of key genes and pathways associated with colorectal cancer diagnosis, treatment, and prognosis.
Wang C; Zhang L
Medicine (Baltimore); 2022 Sep; 101(37):e30619. PubMed ID: 36123948
[TBL] [Abstract][Full Text] [Related]
33. Identification of potential core genes in esophageal carcinoma using bioinformatics analysis.
Yang X; Tian M; Zhang W; Chai T; Shen Z; Kang M; Lin J
Medicine (Baltimore); 2021 Jul; 100(27):e26428. PubMed ID: 34232175
[TBL] [Abstract][Full Text] [Related]
34. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
[No Abstract] [Full Text] [Related]
35. Integration of gene expression data identifies key genes and pathways in colorectal cancer.
Hozhabri H; Lashkari A; Razavi SM; Mohammadian A
Med Oncol; 2021 Jan; 38(1):7. PubMed ID: 33411100
[TBL] [Abstract][Full Text] [Related]
36. Identification and Integrate Analysis of Key Biomarkers for Diagnosis and Prognosis of Non-Small Cell Lung Cancer Based on Bioinformatics Analysis.
Gong K; Zhou H; Liu H; Xie T; Luo Y; Guo H; Chen J; Tan Z; Yang Y; Xie L
Technol Cancer Res Treat; 2021; 20():15330338211060202. PubMed ID: 34825846
[No Abstract] [Full Text] [Related]
37. Integrative network analysis of transcriptomics data reveals potential prognostic biomarkers for colorectal cancer.
Mahajan M; Sarkar A; Mondal S
Cancer Med; 2024 Jun; 13(11):e7391. PubMed ID: 38872418
[TBL] [Abstract][Full Text] [Related]
38. Identification of Hub Genes in Anaplastic Thyroid Carcinoma: Evidence From Bioinformatics Analysis.
Li L; Zhu M; Huang H; Wu J; Meng D
Technol Cancer Res Treat; 2020; 19():1533033820962135. PubMed ID: 33025856
[TBL] [Abstract][Full Text] [Related]
39. Identification of hub genes and pathways in adrenocortical carcinoma by integrated bioinformatic analysis.
Guo J; Gu Y; Ma X; Zhang L; Li H; Yan Z; Han Y; Xie L; Guo X
J Cell Mol Med; 2020 Apr; 24(8):4428-4438. PubMed ID: 32147961
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]
