245 related articles for article (PubMed ID: 32358373)
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 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]
23. High-efficient Screening Method for Identification of Key Genes in Breast Cancer Through Microarray and Bioinformatics.
Liu Z; Liang G; Tan L; Su AN; Jiang W; Gong C
Anticancer Res; 2017 Aug; 37(8):4329-4335. PubMed ID: 28739725
[TBL] [Abstract][Full Text] [Related]
24. Identification of NUF2 and FAM83D as potential biomarkers in triple-negative breast cancer.
Zhai X; Yang Z; Liu X; Dong Z; Zhou D
PeerJ; 2020; 8():e9975. PubMed ID: 33005492
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Detection of critical genes associated with poor prognosis in breast cancer via integrated bioinformatics analyses.
Liu D; Zhang J; Li L; Wang Q; Lan Y
J BUON; 2020; 25(6):2537-2545. PubMed ID: 33455094
[TBL] [Abstract][Full Text] [Related]
27. Identification of ribosomal protein family in triple-negative breast cancer by bioinformatics analysis.
Lin Z; Peng R; Sun Y; Zhang L; Zhang Z
Biosci Rep; 2021 Jan; 41(1):. PubMed ID: 33305312
[TBL] [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. Integrated Analysis of Hub Genes and Pathways In Esophageal Carcinoma Based on NCBI's Gene Expression Omnibus (GEO) Database: A Bioinformatics Analysis.
Yu-Jing T; Wen-Jing T; Biao T
Med Sci Monit; 2020 Aug; 26():e923934. PubMed ID: 32756534
[TBL] [Abstract][Full Text] [Related]
30. Identification of key candidate genes and biological pathways in neuropathic pain.
Cui CY; Liu X; Peng MH; Liu Q; Zhang Y
Comput Biol Med; 2022 Nov; 150():106135. PubMed ID: 36166989
[TBL] [Abstract][Full Text] [Related]
31. Identification of crucial miRNAs and genes in esophageal squamous cell carcinoma by miRNA-mRNA integrated analysis.
Zhong X; Huang G; Ma Q; Liao H; Liu C; Pu W; Xu L; Cai Y; Guo X
Medicine (Baltimore); 2019 Jul; 98(27):e16269. PubMed ID: 31277149
[TBL] [Abstract][Full Text] [Related]
32. 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]
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 key genes and pathways in castrate-resistant prostate cancer by integrated bioinformatics analysis.
Wu YP; Ke ZB; Lin F; Wen YA; Chen S; Li XD; Chen SH; Sun XL; Huang JB; Zheng QS; Xue XY; Wei Y; Xu N
Pathol Res Pract; 2020 Oct; 216(10):153109. PubMed ID: 32853947
[TBL] [Abstract][Full Text] [Related]
35. Genes That Predict Poor Prognosis in Breast Cancer via Bioinformatical Analysis.
Zhou Q; Liu X; Lv M; Sun E; Lu X; Lu C
Biomed Res Int; 2021; 2021():6649660. PubMed ID: 33959662
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Identification of Key Genes and Pathways in Triple-Negative Breast Cancer by Integrated Bioinformatics Analysis.
Dong P; Yu B; Pan L; Tian X; Liu F
Biomed Res Int; 2018; 2018():2760918. PubMed ID: 30175120
[TBL] [Abstract][Full Text] [Related]
38. Bioinformatics analysis of key genes in triple negative breast cancer and validation of oncogene PLK1.
Ren Y; Deng R; Zhang Q; Li J; Han B; Ye P
Ann Transl Med; 2020 Dec; 8(24):1637. PubMed ID: 33490149
[TBL] [Abstract][Full Text] [Related]
39. Identification of the key pathways and genes involved in HER2-positive breast cancer with brain metastasis.
Lu X; Gao C; Liu C; Zhuang J; Su P; Li H; Wang X; Sun C
Pathol Res Pract; 2019 Aug; 215(8):152475. PubMed ID: 31178227
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]
