184 related articles for article (PubMed ID: 35491469)
41. Bioinformatics Analysis Highlights Five Differentially Expressed Genes as Prognostic Biomarkers of Cervical Cancer and Novel Option for Anticancer Treatment.
Cui H; Ma R; Hu T; Xiao GG; Wu C
Front Cell Infect Microbiol; 2022; 12():926348. PubMed ID: 35782114
[TBL] [Abstract][Full Text] [Related]
42. Identification of differentially expressed genes between lung adenocarcinoma and lung squamous cell carcinoma by gene expression profiling.
Lu C; Chen H; Shan Z; Yang L
Mol Med Rep; 2016 Aug; 14(2):1483-90. PubMed ID: 27356570
[TBL] [Abstract][Full Text] [Related]
43. 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]
44. 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]
45. Identification of Potential Biomarkers and Survival Analysis for Head and Neck Squamous Cell Carcinoma Using Bioinformatics Strategy: A Study Based on TCGA and GEO Datasets.
Shen Y; Liu J; Zhang L; Dong S; Zhang J; Liu Y; Zhou H; Dong W
Biomed Res Int; 2019; 2019():7376034. PubMed ID: 31485443
[TBL] [Abstract][Full Text] [Related]
46. Identification of the pivotal role of SPP1 in kidney stone disease based on multiple bioinformatics analysis.
Hong SY; Xia QD; Xu JZ; Liu CQ; Sun JX; Xun Y; Wang SG
BMC Med Genomics; 2022 Jan; 15(1):7. PubMed ID: 35016690
[TBL] [Abstract][Full Text] [Related]
47. Prognostic biomarkers and therapeutic targets in oral squamous cell carcinoma: a study based on cross-database analysis.
Yang W; Zhou W; Zhao X; Wang X; Duan L; Li Y; Niu L; Chen J; Zhang Y; Han Y; Fan D; Hong L
Hereditas; 2021 Apr; 158(1):15. PubMed ID: 33892811
[TBL] [Abstract][Full Text] [Related]
48. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
[TBL] [Abstract][Full Text] [Related]
49. Identification of a Gene Prognostic Signature for Oral Squamous Cell Carcinoma by RNA Sequencing and Bioinformatics.
Zhang YY; Mao MH; Han ZX
Biomed Res Int; 2021; 2021():6657767. PubMed ID: 33869632
[TBL] [Abstract][Full Text] [Related]
50. Analysis and identification of novel biomarkers involved in neuroblastoma via integrated bioinformatics.
Chen B; Ding P; Hua Z; Qin X; Li Z
Invest New Drugs; 2021 Feb; 39(1):52-65. PubMed ID: 32772341
[TBL] [Abstract][Full Text] [Related]
51. 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]
52. 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]
53. Screening of potential biomarkers for cholangiocarcinoma by integrated analysis of microarray data sets.
Huang QX; Cui JY; Ma H; Jia XM; Huang FL; Jiang LX
Cancer Gene Ther; 2016; 23(2-3):48-53. PubMed ID: 26679756
[TBL] [Abstract][Full Text] [Related]
54. TTK, CDC25A, and ESPL1 as Prognostic Biomarkers for Endometrial Cancer.
Yang Q; Yu B; Sun J
Biomed Res Int; 2020; 2020():4625123. PubMed ID: 33282948
[TBL] [Abstract][Full Text] [Related]
55. Differentially Expressed Gene Screening, Biological Function Enrichment, and Correlation with Prognosis in Non-Small Cell Lung Cancer.
Huang H; Huang Q; Tang T; Zhou X; Gu L; Lu X; Liu F
Med Sci Monit; 2019 Jun; 25():4333-4341. PubMed ID: 31181055
[TBL] [Abstract][Full Text] [Related]
56. Identification of Differentially Expressed Genes and miRNAs Associated with Esophageal Squamous Cell Carcinoma by Integrated Analysis of Microarray Data.
Zhang L; Chen J; Cheng T; Yang H; Pan C; Li H
Biomed Res Int; 2020; 2020():1980921. PubMed ID: 32714975
[TBL] [Abstract][Full Text] [Related]
57. Identification of Potential Genetic Biomarkers and Target Genes of Peri-Implantitis Using Bioinformatics Tools.
Zhang X; Wang Z; Hu L; Shen X; Liu C
Biomed Res Int; 2021; 2021():1759214. PubMed ID: 34931168
[TBL] [Abstract][Full Text] [Related]
58. 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]
59. Identification of key regulators of pancreatic ductal adenocarcinoma using bioinformatics analysis of microarray data.
Li N; Zhao X; You S
Medicine (Baltimore); 2019 Jan; 98(2):e14074. PubMed ID: 30633213
[TBL] [Abstract][Full Text] [Related]
60. Screening pathogenic genes in oral squamous cell carcinoma based on the mRNA expression microarray data.
Ding Y; Liu P; Zhang S; Tao L; Han J
Int J Mol Med; 2018 Jun; 41(6):3597-3603. PubMed ID: 29512771
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]