158 related articles for article (PubMed ID: 31886261)
41. Identification of Potentially Functional CircRNA-miRNA-mRNA Regulatory Network in Gastric Carcinoma using Bioinformatics Analysis.
Yang G; Zhang Y; Yang J
Med Sci Monit; 2019 Nov; 25():8777-8796. PubMed ID: 31747387
[TBL] [Abstract][Full Text] [Related]
42. Related Network and Differential Expression Analyses Identify Nuclear Genes and Pathways in the Hippocampus of Alzheimer Disease.
Quan X; Liang H; Chen Y; Qin Q; Wei Y; Liang Z
Med Sci Monit; 2020 Jan; 26():e919311. PubMed ID: 31989994
[TBL] [Abstract][Full Text] [Related]
43. 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]
44. Molecular Mechanisms Underlying Intestinal Ischemia/Reperfusion Injury: Bioinformatics Analysis and In Vivo Validation.
Chen F; Wang D; Li X; Wang H
Med Sci Monit; 2020 Dec; 26():e927476. PubMed ID: 33290384
[TBL] [Abstract][Full Text] [Related]
45. Identification of Hub Genes and Key Pathways Associated with Peripheral T-cell Lymphoma.
Gao HX; Wang MB; Li SJ; Niu J; Xue J; Li J; Li XX
Curr Med Sci; 2020 Oct; 40(5):885-899. PubMed ID: 32980897
[TBL] [Abstract][Full Text] [Related]
46. 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]
47. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
48. Screening and identification of potential biomarkers and therapeutic drugs in melanoma via integrated bioinformatics analysis.
Chen B; Sun D; Qin X; Gao XH
Invest New Drugs; 2021 Aug; 39(4):928-948. PubMed ID: 33501609
[TBL] [Abstract][Full Text] [Related]
49. Expression Profiles of Long Noncoding RNA and mRNA in Epicardial Adipose Tissue in Patients with Heart Failure.
Zheng M; Zhao L; Yang X
Biomed Res Int; 2019; 2019():3945475. PubMed ID: 31355260
[TBL] [Abstract][Full Text] [Related]
50. Bioinformatics Analysis and Identification of Genes and Molecular Pathways Involved in Synovial Inflammation in Rheumatoid Arthritis.
Xiong Y; Mi BB; Liu MF; Xue H; Wu QP; Liu GH
Med Sci Monit; 2019 Mar; 25():2246-2256. PubMed ID: 30916045
[TBL] [Abstract][Full Text] [Related]
51. 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]
52. 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]
53. Ceruloplasmin overexpression is associated with oncogenic pathways and poorer survival rates in clear-cell renal cell carcinoma.
Zhang Y; Chen Z; Chen JG; Chen XF; Gu DH; Liu ZM; Gao YD; Zheng B
FEBS Open Bio; 2021 Nov; 11(11):2988-3004. PubMed ID: 34449964
[TBL] [Abstract][Full Text] [Related]
54. Identification of key genes and pathways in benign prostatic hyperplasia.
Ke ZB; Cai H; Wu YP; Lin YZ; Li XD; Huang JB; Sun XL; Zheng QS; Xue XY; Wei Y; Xu N
J Cell Physiol; 2019 Nov; 234(11):19942-19950. PubMed ID: 31187492
[TBL] [Abstract][Full Text] [Related]
55. Expression Profiles of Long Noncoding and Messenger RNAs in Epicardial Adipose Tissue-Derived from Patients with Coronary Atherosclerosis.
Du Y; Zhu Y; Liu Y; Liu J; Hu C; Sun Y; Zhang D; Lv S; Cheng Y; Han H; Zhang J; Zhao Y; Zhou Y
Curr Vasc Pharmacol; 2022; 20(2):189-200. PubMed ID: 35049433
[TBL] [Abstract][Full Text] [Related]
56. Identification of Potential Hub Genes Related to Diagnosis and Prognosis of Hepatitis B Virus-Related Hepatocellular Carcinoma via Integrated Bioinformatics Analysis.
Tang Y; Zhang Y; Hu X
Biomed Res Int; 2020; 2020():4251761. PubMed ID: 33376723
[TBL] [Abstract][Full Text] [Related]
57. Screening and identification of key biomarkers of papillary renal cell carcinoma by bioinformatic analysis.
Xu Y; Kong D; Li Z; Qian L; Li J; Zou C
PLoS One; 2021; 16(8):e0254868. PubMed ID: 34358255
[TBL] [Abstract][Full Text] [Related]
58. Decoding Psoriasis: Integrated Bioinformatics Approach to Understand Hub Genes and Involved Pathways.
Choudhary S; Pradhan D; Khan NS; Singh H; Thomas G; Jain AK
Curr Pharm Des; 2020; 26(29):3619-3630. PubMed ID: 32160841
[TBL] [Abstract][Full Text] [Related]
59. Network Analyses of Differentially Expressed Genes in Osteoarthritis to Identify Hub Genes.
Li Z; Zhong L; Du Z; Chen G; Shang J; Yang Q; Wang Q; Song Y; Zhang G
Biomed Res Int; 2019; 2019():8340573. PubMed ID: 31139654
[TBL] [Abstract][Full Text] [Related]
60. 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]
[Previous] [Next] [New Search]