173 related articles for article (PubMed ID: 34512870)
21. Identification of Key Pathways and Genes in Anaplastic Thyroid Carcinoma via Integrated Bioinformatics Analysis.
Hu S; Liao Y; Chen L
Med Sci Monit; 2018 Sep; 24():6438-6448. PubMed ID: 30213925
[TBL] [Abstract][Full Text] [Related]
22. Prognostic values and prospective pathway signaling of MicroRNA-182 in ovarian cancer: a study based on gene expression omnibus (GEO) and bioinformatics analysis.
Li Y; Li L
J Ovarian Res; 2019 Nov; 12(1):106. PubMed ID: 31703725
[TBL] [Abstract][Full Text] [Related]
23. Gene expression profiling via bioinformatics analysis reveals biomarkers in laryngeal squamous cell carcinoma.
Guan GF; Zheng Y; Wen LJ; Zhang DJ; Yu DJ; Lu YQ; Zhao Y; Zhang H
Mol Med Rep; 2015 Aug; 12(2):2457-64. PubMed ID: 25936657
[TBL] [Abstract][Full Text] [Related]
24. Identification of Key Biomarkers and Potential Molecular Mechanisms in Renal Cell Carcinoma by Bioinformatics Analysis.
Li F; Guo P; Dong K; Guo P; Wang H; Lv X
J Comput Biol; 2019 Nov; 26(11):1278-1295. PubMed ID: 31233342
[No Abstract] [Full Text] [Related]
25. 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]
26. Identification of key pathways and genes in Barrett's esophagus using integrated bioinformatics methods.
Zhang C; Shen Y; Wang J; Zhou M; Chen Y
Mol Med Rep; 2018 Feb; 17(2):3069-3077. PubMed ID: 29257318
[TBL] [Abstract][Full Text] [Related]
27. [Screening core genes and cyclin B2 as a potential diagnosis, treatment and prognostic biomarker of hepatocellular carcinoma based on bioinformatics analysis].
Yang SY; Ren H; Li CF; Tang H
Zhonghua Gan Zang Bing Za Zhi; 2020 Sep; 28(9):773-783. PubMed ID: 33053978
[No Abstract] [Full Text] [Related]
28. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
[TBL] [Abstract][Full Text] [Related]
29. Identification of Differentially Expressed Genes (DEGs) Relevant to Prognosis of Ovarian Cancer by Use of Integrated Bioinformatics Analysis and Validation by Immunohistochemistry Assay.
Zhang L; Sun L; Zhang B; Chen L
Med Sci Monit; 2019 Dec; 25():9902-9912. PubMed ID: 31871312
[TBL] [Abstract][Full Text] [Related]
30. Identification of potential miRNA-mRNA regulatory network contributing to pathogenesis of HBV-related HCC.
Lou W; Liu J; Ding B; Chen D; Xu L; Ding J; Jiang D; Zhou L; Zheng S; Fan W
J Transl Med; 2019 Jan; 17(1):7. PubMed ID: 30602391
[TBL] [Abstract][Full Text] [Related]
31. Bioinformatics analysis of gene expression profiles of esophageal squamous cell carcinoma.
He Y; Liu J; Zhao Z; Zhao H
Dis Esophagus; 2017 May; 30(5):1-8. PubMed ID: 28375447
[TBL] [Abstract][Full Text] [Related]
32. Identification of important invasion and proliferation related genes in adrenocortical carcinoma.
Alshabi AM; Vastrad B; Shaikh IA; Vastrad C
Med Oncol; 2019 Jul; 36(9):73. PubMed ID: 31321566
[TBL] [Abstract][Full Text] [Related]
33. In silico identification of key genes and signaling pathways targeted by a panel of signature microRNAs in prostate cancer.
Baruah MM; Sharma N
Med Oncol; 2019 Apr; 36(5):43. PubMed ID: 30937635
[TBL] [Abstract][Full Text] [Related]
34. Bioinformatics analysis of gene expression profile data to screen key genes involved in intracranial aneurysms.
Guo T; Hou D; Yu D
Mol Med Rep; 2019 Nov; 20(5):4415-4424. PubMed ID: 31545495
[TBL] [Abstract][Full Text] [Related]
35. Identification of Transcriptional Markers and microRNA-mRNA Regulatory Networks in Colon Cancer by Integrative Analysis of mRNA and microRNA Expression Profiles in Colon Tumor Stroma.
Uddin MN; Li M; Wang X
Cells; 2019 Sep; 8(9):. PubMed ID: 31500382
[TBL] [Abstract][Full Text] [Related]
36. Microarray data analysis on gene and miRNA expression to identify biomarkers in non-small cell lung cancer.
Jin X; Guan Y; Zhang Z; Wang H
BMC Cancer; 2020 Apr; 20(1):329. PubMed ID: 32299382
[TBL] [Abstract][Full Text] [Related]
37. Microarray gene expression profiling and bioinformatics analysis reveal key differentially expressed genes in clival and sacral chordoma cell lines.
Li G; Cai L; Zhou L
Neurol Res; 2019 Jun; 41(6):554-561. PubMed ID: 30821656
[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. Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis.
Mou T; Zhu D; Wei X; Li T; Zheng D; Pu J; Guo Z; Wu Z
World J Surg Oncol; 2017 Mar; 15(1):63. PubMed ID: 28302149
[TBL] [Abstract][Full Text] [Related]
40. Identification of key candidate genes in neuropathic pain by integrated bioinformatic analysis.
Tang S; Jing H; Huang Z; Huang T; Lin S; Liao M; Zhou J
J Cell Biochem; 2020 Feb; 121(2):1635-1648. PubMed ID: 31535407
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
