111 related articles for article (PubMed ID: 36647876)
21. Identification of crucial aberrantly methylated and differentially expressed genes related to cervical cancer using an integrated bioinformatics analysis.
Ma X; Liu J; Wang H; Jiang Y; Wan Y; Xia Y; Cheng W
Biosci Rep; 2020 May; 40(5):. PubMed ID: 32368784
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. Screening and identification of key biomarkers of papillary renal cell carcinoma by bioinformatic analysis.
Xu Y; Kong D; Li Z; Qian L; Li J; Zou C
PLoS One; 2021; 16(8):e0254868. PubMed ID: 34358255
[TBL] [Abstract][Full Text] [Related]
24. Integrated bioinformatics analysis of potential biomarkers for pancreatic cancer.
Shi H; Xu H; Chai C; Qin Z; Zhou W
J Clin Lab Anal; 2022 May; 36(5):e24381. PubMed ID: 35403252
[TBL] [Abstract][Full Text] [Related]
25. Screening and identification of hub genes in pancreatic cancer by integrated bioinformatics analysis.
Chen Q; Yu D; Zhao Y; Qiu J; Xie Y; Tao M
J Cell Biochem; 2019 Dec; 120(12):19496-19508. PubMed ID: 31297881
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Identification of Hub Gene GRIN1 Correlated with Histological Grade and Prognosis of Glioma by Weighted Gene Coexpression Network Analysis.
Yang A; Wang X; Hu Y; Shang C; Hong Y
Biomed Res Int; 2021; 2021():4542995. PubMed ID: 34840971
[TBL] [Abstract][Full Text] [Related]
28. Identification of aberrantly methylated differentially expressed genes in breast cancer by integrated bioinformatics analysis.
Yi L; Luo P; Zhang J
J Cell Biochem; 2019 Sep; 120(9):16229-16243. PubMed ID: 31081184
[TBL] [Abstract][Full Text] [Related]
29. Identification of novel biomarkers in breast cancer via integrated bioinformatics analysis and experimental validation.
Wang N; Zhang H; Li D; Jiang C; Zhao H; Teng Y
Bioengineered; 2021 Dec; 12(2):12431-12446. PubMed ID: 34895070
[TBL] [Abstract][Full Text] [Related]
30. Identification of potential biomarkers of vascular calcification using bioinformatics analysis and validation
Chen C; Wu Y; Lu HL; Liu K; Qin X
PeerJ; 2022; 10():e13138. PubMed ID: 35313524
[TBL] [Abstract][Full Text] [Related]
31. Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gastric cancer.
Wu Q; Zhang B; Wang Z; Hu X; Sun Y; Xu R; Chen X; Wang Q; Ju F; Ren S; Zhang C; Qi F; Ma Q; Xue Q; Zhou YL
Pathol Res Pract; 2019 May; 215(5):1038-1048. PubMed ID: 30975489
[TBL] [Abstract][Full Text] [Related]
32. Identification of Potential Hub Genes Related to Diagnosis and Prognosis of Hepatitis B Virus-Related Hepatocellular Carcinoma via Integrated Bioinformatics Analysis.
Tang Y; Zhang Y; Hu X
Biomed Res Int; 2020; 2020():4251761. PubMed ID: 33376723
[TBL] [Abstract][Full Text] [Related]
33. Identification of Potential Biomarkers for Thyroid Cancer Using Bioinformatics Strategy: A Study Based on GEO Datasets.
Shen Y; Dong S; Liu J; Zhang L; Zhang J; Zhou H; Dong W
Biomed Res Int; 2020; 2020():9710421. PubMed ID: 32337286
[TBL] [Abstract][Full Text] [Related]
34. Identification of Genes with Prognostic Value in the Breast Cancer Microenvironment Using Bioinformatics Analysis.
Ren H; Hu D; Mao Y; Su X
Med Sci Monit; 2020 Apr; 26():e920212. PubMed ID: 32251269
[TBL] [Abstract][Full Text] [Related]
35. Co-expression network analysis identified atypical chemokine receptor 1 (ACKR1) association with lymph node metastasis and prognosis in cervical cancer.
Liu J; Li S; Lin L; Jiang Y; Wan Y; Zhou S; Cheng W
Cancer Biomark; 2020; 27(2):213-223. PubMed ID: 32083574
[TBL] [Abstract][Full Text] [Related]
36. Identification of 40S ribosomal protein S8 as a novel biomarker for alcohol‑associated hepatocellular carcinoma using weighted gene co‑expression network analysis.
Bi N; Sun Y; Lei S; Zeng Z; Zhang Y; Sun C; Yu C
Oncol Rep; 2020 Aug; 44(2):611-627. PubMed ID: 32627011
[TBL] [Abstract][Full Text] [Related]
37. Integrated bioinformatics analysis reveals key candidate genes and pathways in breast cancer.
Wang Y; Zhang Y; Huang Q; Li C
Mol Med Rep; 2018 Jun; 17(6):8091-8100. PubMed ID: 29693125
[TBL] [Abstract][Full Text] [Related]
38. Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments.
Zhang T; Guo J; Gu J; Wang Z; Wang G; Li H; Wang J
Oncol Rep; 2019 Jan; 41(1):279-291. PubMed ID: 30542696
[TBL] [Abstract][Full Text] [Related]
39. Common gene signatures and key pathways in hypopharyngeal and esophageal squamous cell carcinoma: Evidence from bioinformatic analysis.
Zhou R; Liu D; Zhu J; Zhang T
Medicine (Baltimore); 2020 Oct; 99(42):e22434. PubMed ID: 33080677
[TBL] [Abstract][Full Text] [Related]
40. Identification and validation of key genes with prognostic value in non-small-cell lung cancer via integrated bioinformatics analysis.
Wang L; Qu J; Liang Y; Zhao D; Rehman FU; Qin K; Zhang X
Thorac Cancer; 2020 Apr; 11(4):851-866. PubMed ID: 32059076
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
