436 related articles for article (PubMed ID: 29482638)
21. Analysis of the protein-protein interaction networks of differentially expressed genes in pulmonary embolism.
Wang H; Wang C; Zhang L; Lu Y; Duan Q; Gong Z; Liang A; Song H; Wang L
Mol Med Rep; 2015 Apr; 11(4):2527-33. PubMed ID: 25434468
[TBL] [Abstract][Full Text] [Related]
22. Identification of pivotal genes and pathways for spinal cord injury via bioinformatics analysis.
Zhu Z; Shen Q; Zhu L; Wei X
Mol Med Rep; 2017 Oct; 16(4):3929-3937. PubMed ID: 28731189
[TBL] [Abstract][Full Text] [Related]
23. Bioinformatics analysis of transcription profiling of solid pseudopapillary neoplasm of the pancreas.
Zhang Y; Han X; Wu H; Zhou Y
Mol Med Rep; 2017 Aug; 16(2):1635-1642. PubMed ID: 28627654
[TBL] [Abstract][Full Text] [Related]
24. Identification of key genes and construction of microRNA-mRNA regulatory networks in multiple myeloma by integrated multiple GEO datasets using bioinformatics analysis.
Gao H; Wang H; Yang W
Int J Hematol; 2017 Jul; 106(1):99-107. PubMed ID: 28316065
[TBL] [Abstract][Full Text] [Related]
25. The potential regulatory mechanisms of the gonadotropin-releasing hormone in gonadotropin transcriptions identified with bioinformatics analyses.
Xiang W; Zhang B; Lv F; Feng G; Chen L; Yang F; Zhang K; Cao C; Wang P; Chu M
Reprod Biol Endocrinol; 2017 Jun; 15(1):46. PubMed ID: 28623929
[TBL] [Abstract][Full Text] [Related]
26. Identification of key genes and crucial modules associated with coronary artery disease by bioinformatics analysis.
Zhang X; Cheng X; Liu H; Zheng C; Rao K; Fang Y; Zhou H; Xiong S
Int J Mol Med; 2014 Sep; 34(3):863-9. PubMed ID: 24969630
[TBL] [Abstract][Full Text] [Related]
27. Identification of key genes and pathways in pelvic organ prolapse based on gene expression profiling by bioinformatics analysis.
Zhou Q; Hong L; Wang J
Arch Gynecol Obstet; 2018 May; 297(5):1323-1332. PubMed ID: 29546564
[TBL] [Abstract][Full Text] [Related]
28. Identification of potential targets for ovarian cancer treatment by systematic bioinformatics analysis.
Ye Q; Lei L; Aili AX
Eur J Gynaecol Oncol; 2015; 36(3):283-9. PubMed ID: 26189254
[TBL] [Abstract][Full Text] [Related]
29. Identification of differentially expressed genes and signaling pathways in ovarian cancer by integrated bioinformatics analysis.
Yang X; Zhu S; Li L; Zhang L; Xian S; Wang Y; Cheng Y
Onco Targets Ther; 2018; 11():1457-1474. PubMed ID: 29588600
[TBL] [Abstract][Full Text] [Related]
30. Identification of Core Genes and Key Pathways via Integrated Analysis of Gene Expression and DNA Methylation Profiles in Bladder Cancer.
Zhang Y; Fang L; Zang Y; Xu Z
Med Sci Monit; 2018 May; 24():3024-3033. PubMed ID: 29739919
[TBL] [Abstract][Full Text] [Related]
31. Bioinformatics-Based Identification of Methylated-Differentially Expressed Genes and Related Pathways in Gastric Cancer.
Li H; Liu JW; Liu S; Yuan Y; Sun LP
Dig Dis Sci; 2017 Nov; 62(11):3029-3039. PubMed ID: 28914394
[TBL] [Abstract][Full Text] [Related]
32. Exploration of the sequential gene changes in epithelial ovarian cancer induced by carboplatin via microarray analysis.
Wei S; Liu J; Shi Y; Zhang X; Yang Y; Song Q
Mol Med Rep; 2017 Sep; 16(3):3155-3160. PubMed ID: 28713952
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. Screening the molecular targets of ovarian cancer based on bioinformatics analysis.
Du L; Qian X; Dai C; Wang L; Huang D; Wang S; Shen X
Tumori; 2015; 101(4):384-9. PubMed ID: 25953442
[TBL] [Abstract][Full Text] [Related]
35. Analysis of molecular pathways in pancreatic ductal adenocarcinomas with a bioinformatics approach.
Wang Y; Li Y
Asian Pac J Cancer Prev; 2015; 16(6):2561-7. PubMed ID: 25824797
[TBL] [Abstract][Full Text] [Related]
36. Exploring Key Genes and Pathways of Cardiac Hypertrophy Based on Bioinformatics.
Zhang Z; Wang C
Dis Markers; 2022; 2022():2081590. PubMed ID: 36046382
[TBL] [Abstract][Full Text] [Related]
37. Identification of candidate genes for necrotizing enterocolitis based on microarray data.
Chen G; Li Y; Su Y; Zhou L; Zhang H; Shen Q; Du C; Li H; Wen Z; Xia Y; Tang W
Gene; 2018 Jun; 661():152-159. PubMed ID: 29605607
[TBL] [Abstract][Full Text] [Related]
38. Identification of differentially expressed genes and regulatory relationships in Huntington's disease by bioinformatics analysis.
Dong X; Cong S
Mol Med Rep; 2018 Mar; 17(3):4317-4326. PubMed ID: 29328442
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. Screening and function analysis of hub genes and pathways in hepatocellular carcinoma via bioinformatics approaches.
Zhang L; Huang Y; Ling J; Zhuo W; Yu Z; Shao M; Luo Y; Zhu Y
Cancer Biomark; 2018; 22(3):511-521. PubMed ID: 29843214
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
