151 related articles for article (PubMed ID: 36387067)
1. Bioinformatics analysis and validation of the critical genes associated with adamantinomatous craniopharyngioma.
Fang C; Zhou L; Huang H; Xu HT; Hong T; Zheng SY
Front Oncol; 2022; 12():1007236. PubMed ID: 36387067
[TBL] [Abstract][Full Text] [Related]
2. Identification and Functional Enrichment Analysis of Potential Diagnostic and Therapeutic Targets in Adamantinomatous Craniopharyngioma.
Zou YF; Meng LB; Wang QQ; He ZK; Hu CH; Shan MJ; Wang DY; Yu X
J Comput Biol; 2020 Jan; 27(1):55-68. PubMed ID: 31424286
[TBL] [Abstract][Full Text] [Related]
3. Gene expression profiles reveal key genes for early diagnosis and treatment of adamantinomatous craniopharyngioma.
Yang J; Hou Z; Wang C; Wang H; Zhang H
Cancer Gene Ther; 2018 Oct; 25(9-10):227-239. PubMed ID: 29681617
[TBL] [Abstract][Full Text] [Related]
4. Integrative Analysis of Biomarkers and Mechanisms in Adamantinomatous Craniopharyngioma.
Lin D; Zhao W; Yang J; Wang H; Zhang H
Front Genet; 2022; 13():830793. PubMed ID: 35432485
[TBL] [Abstract][Full Text] [Related]
5. Bioinformatics analysis of gene expression profile data to screen key genes involved in intracranial aneurysms.
Guo T; Hou D; Yu D
Mol Med Rep; 2019 Nov; 20(5):4415-4424. PubMed ID: 31545495
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Identification of key pathways and genes in nasopharyngeal carcinoma using bioinformatics analysis.
Zhu HM; Fei Q; Qian LX; Liu BL; He X; Yin L
Oncol Lett; 2019 May; 17(5):4683-4694. PubMed ID: 30988824
[TBL] [Abstract][Full Text] [Related]
8. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer.
Yang C; Gong A
Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215
[No Abstract] [Full Text] [Related]
9. Machine learning approach to screen new diagnostic features of adamantinomatous craniopharyngioma and explore personalised treatment strategies.
Wu J; Qin C; Fang G; Shen L; Li M; Lu B; Li Y; Yao X; Fang D
Transl Pediatr; 2023 May; 12(5):947-966. PubMed ID: 37305719
[TBL] [Abstract][Full Text] [Related]
10. Integrative analyses identify HIF-1α as a potential protective role with immune cell infiltration in adamantinomatous craniopharyngioma.
Gao Q; Luo J; Pan J; Zhang L; Song D; Zhang M; Xu D; Guo F
Front Immunol; 2022; 13():949509. PubMed ID: 36091021
[TBL] [Abstract][Full Text] [Related]
11. Identification of differentially expressed genes and signaling pathways in papillary thyroid cancer: a study based on integrated microarray and bioinformatics analysis.
Sun T; Guan Q; Wang Y; Qian K; Sun W; Ji Q; Wu Y; Guo K; Xiang J
Gland Surg; 2021 Feb; 10(2):629-644. PubMed ID: 33708546
[TBL] [Abstract][Full Text] [Related]
12. Identification of key genes and pathways in castrate-resistant prostate cancer by integrated bioinformatics analysis.
Wu YP; Ke ZB; Lin F; Wen YA; Chen S; Li XD; Chen SH; Sun XL; Huang JB; Zheng QS; Xue XY; Wei Y; Xu N
Pathol Res Pract; 2020 Oct; 216(10):153109. PubMed ID: 32853947
[TBL] [Abstract][Full Text] [Related]
13. Bioinformatics identification of key candidate genes and pathways associated with systemic lupus erythematosus.
Yang F; Zhai Z; Luo X; Luo G; Zhuang L; Zhang Y; Li Y; Sun E; He Y
Clin Rheumatol; 2020 Feb; 39(2):425-434. PubMed ID: 31673979
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Identification of differentially expressed genes and biological pathways in bladder cancer.
Tang F; He Z; Lei H; Chen Y; Lu Z; Zeng G; Wang H
Mol Med Rep; 2018 May; 17(5):6425-6434. PubMed ID: 29532898
[TBL] [Abstract][Full Text] [Related]
16. Bioinformatics analysis of differentially expressed genes and pathways in the development of cervical cancer.
Wu B; Xi S
BMC Cancer; 2021 Jun; 21(1):733. PubMed ID: 34174849
[TBL] [Abstract][Full Text] [Related]
17. Identification of Key Candidate Genes Related to Inflammatory Osteolysis Associated with Vitamin E-Blended UHMWPE Debris of Orthopedic Implants by Integrated Bioinformatics Analysis and Experimental Confirmation.
Liu F; Dong J; Zhou D; Zhang Q
J Inflamm Res; 2021; 14():3537-3554. PubMed ID: 34345178
[TBL] [Abstract][Full Text] [Related]
18. Identification of Differentially Expressed Genes and miRNAs for Ulcerative Colitis Using Bioinformatics Analysis.
Hu W; Fang T; Chen X
Front Genet; 2022; 13():914384. PubMed ID: 35719390
[No Abstract] [Full Text] [Related]
19. Whole Transcriptomic Analysis of Key Genes and Signaling Pathways in Endogenous ARDS.
Xie Y; Luo J; Hu W; Ye C; Ren P; Wang Y; Li X
Dis Markers; 2022; 2022():1614208. PubMed ID: 36246560
[TBL] [Abstract][Full Text] [Related]
20. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
