171 related articles for article (PubMed ID: 32883354)
41. Identification of Key Genes and Pathways in Tongue Squamous Cell Carcinoma Using Bioinformatics Analysis.
Zhang H; Liu J; Fu X; Yang A
Med Sci Monit; 2017 Dec; 23():5924-5932. PubMed ID: 29240723
[TBL] [Abstract][Full Text] [Related]
42. Integrated analysis of differentially expressed genes and pathways in triple‑negative breast cancer.
Peng C; Ma W; Xia W; Zheng W
Mol Med Rep; 2017 Mar; 15(3):1087-1094. PubMed ID: 28075450
[TBL] [Abstract][Full Text] [Related]
43. Construction of pancreatic cancer double-factor regulatory network based on chip data on the transcriptional level.
Zhao LL; Zhang T; Liu BR; Liu TF; Tao N; Zhuang LW
Mol Biol Rep; 2014 May; 41(5):2875-83. PubMed ID: 24469724
[TBL] [Abstract][Full Text] [Related]
44. 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]
45. 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]
46. High-dose Ionizing Radiation Regulates Gene Expression Changes in the MCF7 Breast Cancer Cell Line.
Bravatà V; Minafra L; Russo G; Forte GI; Cammarata FP; Ripamonti M; Casarino C; Augello G; Costantini F; Barbieri G; Messa C; Gilardi MC
Anticancer Res; 2015 May; 35(5):2577-91. PubMed ID: 25964533
[TBL] [Abstract][Full Text] [Related]
47. Identification of core genes and potential molecular mechanisms in breast cancer using bioinformatics analysis.
Liu F; Wu Y; Mi Y; Gu L; Sang M; Geng C
Pathol Res Pract; 2019 Jul; 215(7):152436. PubMed ID: 31076281
[TBL] [Abstract][Full Text] [Related]
48. Bioinformatics analysis of fibroblasts exposed to TGF‑β at the early proliferation phase of wound repair.
Mi B; Liu G; Zhou W; Lv H; Zha K; Liu Y; Wu Q; Liu J
Mol Med Rep; 2017 Dec; 16(6):8146-8154. PubMed ID: 28983581
[TBL] [Abstract][Full Text] [Related]
49. Identification of breast cancer hub genes and analysis of prognostic values using integrated bioinformatics analysis.
Fang E; Zhang X
Cancer Biomark; 2017 Dec; 21(1):373-381. PubMed ID: 29081411
[TBL] [Abstract][Full Text] [Related]
50. Identification of transcriptional factors and key genes in primary osteoporosis by DNA microarray.
Xie W; Ji L; Zhao T; Gao P
Med Sci Monit; 2015 May; 21():1333-44. PubMed ID: 25957414
[TBL] [Abstract][Full Text] [Related]
51. Bioinformatics methods for identifying differentially expressed genes and signaling pathways in nano-silica stimulated macrophages.
Zhang L; Hao C; Li J; Qu Y; Bao L; Li Y; Yue Z; Zhang M; Yu X; Chen H; Zhang J; Wang D; Yao W
Tumour Biol; 2017 Jun; 39(6):1010428317709284. PubMed ID: 28653889
[TBL] [Abstract][Full Text] [Related]
52. Construction and analysis of mRNA, miRNA, lncRNA, and TF regulatory networks reveal the key genes associated with prostate cancer.
Ye Y; Li SL; Wang SY
PLoS One; 2018; 13(8):e0198055. PubMed ID: 30138363
[TBL] [Abstract][Full Text] [Related]
53. Prediction and analysis of weighted genes in hepatocellular carcinoma using bioinformatics analysis.
Zhang Q; Sun S; Zhu C; Zheng Y; Cai Q; Liang X; Xie H; Zhou J
Mol Med Rep; 2019 Apr; 19(4):2479-2488. PubMed ID: 30720105
[TBL] [Abstract][Full Text] [Related]
54. 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]
55. Identification of key target genes and biological pathways in multiple sclerosis brains using microarray data obtained from the Gene Expression Omnibus database.
Zheng W; Chen Y; Chen H; Xiao W; Liang Y; Wang N; Jiang X; Wen S
Neurol Res; 2018 Oct; 40(10):883-891. PubMed ID: 30074468
[TBL] [Abstract][Full Text] [Related]
56. Bioinformatics analysis to identify key genes and pathways influencing synovial inflammation in osteoarthritis.
Lin J; Wu G; Zhao Z; Huang Y; Chen J; Fu C; Ye J; Liu X
Mol Med Rep; 2018 Dec; 18(6):5594-5602. PubMed ID: 30365099
[TBL] [Abstract][Full Text] [Related]
57. Construction of an immunorelated protein-protein interaction network for clarifying the mechanism of burn.
Gao Y; Nai W; Yang L; Lu Z; Shi P; Jin H; Wen H; Wang G
Burns; 2016 Mar; 42(2):405-13. PubMed ID: 26739088
[TBL] [Abstract][Full Text] [Related]
58. Clinical Value of miR-101-3p and Biological Analysis of its Prospective Targets in Breast Cancer: A Study Based on The Cancer Genome Atlas (TCGA) and Bioinformatics.
Li CY; Xiong DD; Huang CQ; He RQ; Liang HW; Pan DH; Wang HL; Wang YW; Zhu HW; Chen G
Med Sci Monit; 2017 Apr; 23():1857-1871. PubMed ID: 28416776
[TBL] [Abstract][Full Text] [Related]
59. 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]
60. Identification of key pathogenic genes of sepsis based on the Gene Expression Omnibus database.
Lu X; Xue L; Sun W; Ye J; Zhu Z; Mei H
Mol Med Rep; 2018 Feb; 17(2):3042-3054. PubMed ID: 29257295
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
