194 related articles for article (PubMed ID: 35915735)
1. Gene Identification and Potential Drug Therapy for Drug-Resistant Melanoma with Bioinformatics and Deep Learning Technology.
Liu M; Xu Y
Dis Markers; 2022; 2022():2461055. PubMed ID: 35915735
[TBL] [Abstract][Full Text] [Related]
2. Identification of Potential Drug Therapy for Dermatofibrosarcoma Protuberans with Bioinformatics and Deep Learning Technology.
Liu M; Yang F; Xu Y
Curr Comput Aided Drug Des; 2022; 18(5):393-405. PubMed ID: 35975851
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Identification of core genes and pathways between geriatric multimorbidity and renal insufficiency: potential therapeutic agents discovered using bioinformatics analysis.
Zhang L; Cai J; Xiao J; Ye Z
BMC Med Genomics; 2022 Oct; 15(1):212. PubMed ID: 36209090
[TBL] [Abstract][Full Text] [Related]
5. Identification of key genes and pathways in scleral extracellular matrix remodeling in glaucoma: Potential therapeutic agents discovered using bioinformatics analysis.
Hu D; Jiang J; Lin Z; Zhang C; Moonasar N; Qian S
Int J Med Sci; 2021; 18(7):1554-1565. PubMed ID: 33746571
[No Abstract] [Full Text] [Related]
6. Screening and Identification of Key Biomarkers in Melanoma: Evidence from Bioinformatic Analyses.
Xia Y; Xie J; Zhao J; Lou Y; Cao D
J Comput Biol; 2021 Mar; 28(3):317-329. PubMed ID: 32985909
[TBL] [Abstract][Full Text] [Related]
7. Bioinformatics Analysis Identifies MicroRNAs and Target Genes Associated with Prognosis in Patients with Melanoma.
Li Q; Zhang LY; Wu S; Huang C; Liu J; Wang P; Cao Y
Med Sci Monit; 2019 Oct; 25():7784-7794. PubMed ID: 31621692
[TBL] [Abstract][Full Text] [Related]
8. Bioinformatics Analysis of Potential Key Genes in Trastuzumab-Resistant Gastric Cancer.
Yang G; Jian L; Lin X; Zhu A; Wen G
Dis Markers; 2019; 2019():1372571. PubMed ID: 31949544
[TBL] [Abstract][Full Text] [Related]
9. Identification of Key Genes and Molecular Pathways in Keratoconus: Integrating Text Mining and Bioinformatics Analysis.
Hu D; Lin Z; Jiang J; Li P; Zhang Z; Yang C
Biomed Res Int; 2022; 2022():4740141. PubMed ID: 36051483
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Identification of Potential Hub Genes and Therapeutic Drugs in Malignant Pleural Mesothelioma by Integrated Bioinformatics Analysis.
Zhang X; Yang L; Chen W; Kong M
Oncol Res Treat; 2020; 43(12):656-671. PubMed ID: 33032291
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
[No Abstract] [Full Text] [Related]
14. Identification of hub genes to regulate breast cancer metastasis to brain by bioinformatics analyses.
Tang D; Zhao X; Zhang L; Wang Z; Wang C
J Cell Biochem; 2019 Jun; 120(6):9522-9531. PubMed ID: 30506958
[TBL] [Abstract][Full Text] [Related]
15. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
[TBL] [Abstract][Full Text] [Related]
16. Identification of differentially expressed genes and signaling pathways using bioinformatics in interstitial lung disease due to tyrosine kinase inhibitors targeting the epidermal growth factor receptor.
Lu Y; Li A; Lai X; Jiang J; Zhang L; Zhong Z; Zhao W; Tang P; Zhao H; Ren X
Invest New Drugs; 2019 Apr; 37(2):384-400. PubMed ID: 30203136
[TBL] [Abstract][Full Text] [Related]
17. Identification of novel genes associated with a poor prognosis in pancreatic ductal adenocarcinoma via a bioinformatics analysis.
Zhou J; Hui X; Mao Y; Fan L
Biosci Rep; 2019 Aug; 39(8):. PubMed ID: 31311829
[TBL] [Abstract][Full Text] [Related]
18. Comprehensive Analysis of Candidate Diagnostic and Prognostic Biomarkers Associated with Lung Adenocarcinoma.
Li J; Liu X; Cui Z; Han G
Med Sci Monit; 2020 Jun; 26():e922070. PubMed ID: 32578582
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Identification and Integrated Analysis of Key Biomarkers for Diagnosis and Prognosis of Non-Small Cell Lung Cancer.
Liu X; Liu X; Li J; Ren F
Med Sci Monit; 2019 Dec; 25():9280-9289. PubMed ID: 31805030
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
