120 related articles for article (PubMed ID: 35546701)
21. Identification of hub genes and regulators associated with pancreatic ductal adenocarcinoma based on integrated gene expression profile analysis.
Shang M; Zhang L; Chen X; Zheng S
Discov Med; 2019 Sep; 28(153):159-172. PubMed ID: 31926587
[TBL] [Abstract][Full Text] [Related]
22. Identification of TYROBP and FCER1G as Key Genes with Prognostic Value in Clear Cell Renal Cell Carcinoma by Bioinformatics Analysis.
Wang L; Lin Y; Yuan Y; Liu F; Sun K
Biochem Genet; 2021 Oct; 59(5):1278-1294. PubMed ID: 33786672
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. 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]
25. Estrogen receptor 1 and progesterone receptor are distinct biomarkers and prognostic factors in estrogen receptor-positive breast cancer: Evidence from a bioinformatic analysis.
Wu JR; Zhao Y; Zhou XP; Qin X
Biomed Pharmacother; 2020 Jan; 121():109647. PubMed ID: 31733575
[TBL] [Abstract][Full Text] [Related]
26. Bioinformatics analysis and verification of gene targets for renal clear cell carcinoma.
Li F; Jin Y; Pei X; Guo P; Dong K; Wang H; Chen Y; Guo P; Meng LB; Wang Z
Comput Biol Chem; 2021 Jun; 92():107453. PubMed ID: 33636636
[TBL] [Abstract][Full Text] [Related]
27. Identification and Interaction Analysis of Molecular Markers in Colorectal Cancer by Integrated Bioinformatics Analysis.
Han B; Feng D; Yu X; Zhang Y; Liu Y; Zhou L
Med Sci Monit; 2018 Aug; 24():6059-6069. PubMed ID: 30168505
[TBL] [Abstract][Full Text] [Related]
28. Identification and Analysis of Novel Biomarkers Involved in Chromophobe Renal Cell Carcinoma by Integrated Bioinformatics Analyses.
Zhang W; Xu Y; Zhang J; Wu J
Biomed Res Int; 2020; 2020():2671281. PubMed ID: 32090070
[TBL] [Abstract][Full Text] [Related]
29. Microarray analysis of the expression profile of immune-related gene in rapid recurrence early-stage lung adenocarcinoma.
Liu J; Yang X; Zhang L; Yang B; Rao W; Li M; Dai N; Yang Y; Qian C; Zhang L; Xiao H; Wang D
J Cancer Res Clin Oncol; 2020 Sep; 146(9):2299-2310. PubMed ID: 32556504
[TBL] [Abstract][Full Text] [Related]
30. Comprehensive Analysis of Candidate Diagnostic and Prognostic Biomarkers Associated with Lung Adenocarcinoma.
Li J; Liu X; Cui Z; Han G
Med Sci Monit; 2020 Jun; 26():e922070. PubMed ID: 32578582
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. Protein-protein interaction analysis of distinct molecular pathways in two subtypes of colorectal carcinoma.
Chen H; Fang Y; Zhu H; Li S; Wang T; Gu P; Fang X; Wu Y; Liang J; Zeng Y; Zhang L; Qiu W; Zhang L; Yi X
Mol Med Rep; 2014 Dec; 10(6):2868-74. PubMed ID: 25242495
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. Identification of biomarkers and potential molecular mechanisms of clear cell renal cell carcinoma.
Wu F; Wu S; Gou X
Neoplasma; 2018; 65(2):242-252. PubMed ID: 29534586
[TBL] [Abstract][Full Text] [Related]
35. Bioinformatic identification of candidate biomarkers and related transcription factors in nasopharyngeal carcinoma.
Ye Z; Wang F; Yan F; Wang L; Li B; Liu T; Hu F; Jiang M; Li W; Fu Z
World J Surg Oncol; 2019 Apr; 17(1):60. PubMed ID: 30935420
[TBL] [Abstract][Full Text] [Related]
36. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.
Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K
Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538
[TBL] [Abstract][Full Text] [Related]
37. Identification of Core Prognosis-Related Candidate Genes in Cervical Cancer via Integrated Bioinformatical Analysis.
Wei J; Wang Y; Shi K; Wang Y
Biomed Res Int; 2020; 2020():8959210. PubMed ID: 32258155
[TBL] [Abstract][Full Text] [Related]
38. Identification of key genes and functions of circulating tumor cells in multiple cancers through bioinformatic analysis.
Guan Y; Xu F; Wang Y; Tian J; Wan Z; Wang Z; Chong T
BMC Med Genomics; 2020 Sep; 13(1):140. PubMed ID: 32972417
[TBL] [Abstract][Full Text] [Related]
39. [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]
40. Bioinformatics Analysis Identified Key Molecular Changes in Bladder Cancer Development and Recurrence.
Chen Q; Hu J; Deng J; Fu B; Guo J
Biomed Res Int; 2019; 2019():3917982. PubMed ID: 31828101
[No Abstract] [Full Text] [Related]
[Previous] [Next] [New Search]
