1700 related articles for article (PubMed ID: 32578582)
21. Identification of candidate aberrantly methylated and differentially expressed genes in Esophageal squamous cell carcinoma.
Han BA; Yang XP; Hosseini DK; Zhang P; Zhang Y; Yu JT; Chen S; Zhang F; Zhou T; Sun HY
Sci Rep; 2020 Jun; 10(1):9735. PubMed ID: 32546690
[TBL] [Abstract][Full Text] [Related]
22. Identification of Potential Biomarkers Associated with Prognosis in Gastric Cancer via Bioinformatics Analysis.
Li D; Yin Y; He M; Wang J
Med Sci Monit; 2021 Feb; 27():e929104. PubMed ID: 33582701
[TBL] [Abstract][Full Text] [Related]
23. Identifying hepatocellular carcinoma-related hub genes by bioinformatics analysis and CYP2C8 is a potential prognostic biomarker.
Li C; Zhou D; Jiang X; Liu M; Tang H; Mei Z
Gene; 2019 May; 698():9-18. PubMed ID: 30825595
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. 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]
26. 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]
27. 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]
28. POLE2 Serves as a Prognostic Biomarker and Is Associated with Immune Infiltration in Squamous Cell Lung Cancer.
Wu Z; Wang YM; Dai Y; Chen LA
Med Sci Monit; 2020 Apr; 26():e921430. PubMed ID: 32304567
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. Identification of potential diagnostic and prognostic biomarkers for LUAD based on TCGA and GEO databases.
Zheng Q; Min S; Zhou Q
Biosci Rep; 2021 Jun; 41(6):. PubMed ID: 34017995
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. Identification of Core Genes and Pathways in Melanoma Metastasis via Bioinformatics Analysis.
Xie R; Li B; Jia L; Li Y
Int J Mol Sci; 2022 Jan; 23(2):. PubMed ID: 35054979
[TBL] [Abstract][Full Text] [Related]
33. Screening and Identification of Key Biomarkers in Inflammatory Breast Cancer Through Integrated Bioinformatic Analyses.
Wu J; Lv Q; Huang H; Zhu M; Meng D
Genet Test Mol Biomarkers; 2020 Aug; 24(8):484-491. PubMed ID: 32598242
[No Abstract] [Full Text] [Related]
34. Comprehensive analysis of TPX2-related ceRNA network as prognostic biomarkers in lung adenocarcinoma.
Huo C; Zhang MY; Li R; Zhou XJ; Liu TT; Li JP; Liu X; Qu YQ
Int J Med Sci; 2020; 17(16):2427-2439. PubMed ID: 33029085
[No Abstract] [Full Text] [Related]
35. 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]
36. Identification of crucial genes associated with lung adenocarcinoma by bioinformatic analysis.
Dai JJ; Zhou WB; Wang B
Medicine (Baltimore); 2020 Oct; 99(44):e23052. PubMed ID: 33126397
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. Identification of differentially expressed genes associated with lung adenocarcinoma via bioinformatics analysis.
Yang X; Feng Q; Jing J; Yan J; Zeng Z; Zheng H; Cheng X
Gen Physiol Biophys; 2021 Jan; 40(1):31-48. PubMed ID: 33655889
[TBL] [Abstract][Full Text] [Related]
39. Identification of core genes and outcomes in hepatocellular carcinoma by bioinformatics analysis.
Shen S; Kong J; Qiu Y; Yang X; Wang W; Yan L
J Cell Biochem; 2019 Jun; 120(6):10069-10081. PubMed ID: 30525236
[TBL] [Abstract][Full Text] [Related]
40. Interactive Verification Analysis of Multiple Sequencing Data for Identifying Potential Biomarker of Lung Adenocarcinoma.
Fei H; Chen S; Xu C
Biomed Res Int; 2020; 2020():8931419. PubMed ID: 33062704
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
