166 related articles for article (PubMed ID: 31820345)
1. Identification of Hub Genes in Pediatric Medulloblastoma by Multiple-Microarray Analysis.
Huang P; Guo YD; Zhang HW
J Mol Neurosci; 2020 Apr; 70(4):522-531. PubMed ID: 31820345
[TBL] [Abstract][Full Text] [Related]
2. Identification of potential crucial genes and mechanisms associated with metastasis of medulloblastoma based on gene expression profile.
Wang G; Zhang Z; Tao M; Wei X; Zhou L
Neurol Res; 2023 Mar; 45(3):260-267. PubMed ID: 36215435
[TBL] [Abstract][Full Text] [Related]
3. Identification of Potential Key Genes and Molecular Mechanisms of Medulloblastoma Based on Integrated Bioinformatics Approach.
Islam MR; Abdulrazak LF; Alam MK; Paul BK; Ahmed K; Bui FM; Moni MA
Biomed Res Int; 2022; 2022():1776082. PubMed ID: 35127939
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Identification of ITPR1 as a Hub Gene of Group 3 Medulloblastoma and Coregulated Genes with Potential Prognostic Values.
das Chagas PF; de Sousa GR; Veronez LC; Martins-da-Silva A; Corrêa CAP; Cruzeiro GAV; Nagano LFP; Queiroz RGP; Marie SKN; Brandalise SR; Scrideli CA; Tone LG; Valera ET
J Mol Neurosci; 2022 Mar; 72(3):633-641. PubMed ID: 34822110
[TBL] [Abstract][Full Text] [Related]
6. Identification of PBK as a hub gene and potential therapeutic target for medulloblastoma.
Deng Y; Wen H; Yang H; Zhu Z; Huang Q; Bi Y; Wang P; Zhou M; Guan J; Zhang W; Li M
Oncol Rep; 2022 Jul; 48(1):. PubMed ID: 35593307
[TBL] [Abstract][Full Text] [Related]
7. Subgroup-specific prognostic signaling and metabolic pathways in pediatric medulloblastoma.
Park AK; Lee JY; Cheong H; Ramaswamy V; Park SH; Kool M; Phi JH; Choi SA; Cavalli F; Taylor MD; Kim SK
BMC Cancer; 2019 Jun; 19(1):571. PubMed ID: 31185958
[TBL] [Abstract][Full Text] [Related]
8. Identification for Exploring Underlying Pathogenesis and Therapy Strategy of Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
Xu Z; Jiang P; He S
Med Sci Monit; 2019 Dec; 25():9216-9226. PubMed ID: 31794546
[TBL] [Abstract][Full Text] [Related]
9. Microarray-Based Gene Expression Analysis Identifies Potential Diagnostic and Prognostic Biomarkers for Waldenström Macroglobulinemia.
Xu H; Yao F
Acta Haematol; 2018; 140(2):87-96. PubMed ID: 30227405
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Identification of cell surface targets through meta-analysis of microarray data.
Haeberle H; Dudley JT; Liu JT; Butte AJ; Contag CH
Neoplasia; 2012 Jul; 14(7):666-9. PubMed ID: 22904683
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Identification of Key Biomarkers and Potential Molecular Mechanisms in Renal Cell Carcinoma by Bioinformatics Analysis.
Li F; Guo P; Dong K; Guo P; Wang H; Lv X
J Comput Biol; 2019 Nov; 26(11):1278-1295. PubMed ID: 31233342
[No Abstract] [Full Text] [Related]
14. Clinical Prognostic Implications of Wnt Hub Genes Expression in Medulloblastoma.
Martins-da-Silva A; Baroni M; Salomão KB; das Chagas PF; Bonfim-Silva R; Geron L; Cruzeiro GAV; da Silva WA; Corrêa CAP; Carlotti CG; de Paula Queiroz RG; Marie SKN; Brandalise SR; Yunes JA; Scrideli CA; Valera ET; Tone LG
Cell Mol Neurobiol; 2023 Mar; 43(2):813-826. PubMed ID: 35366170
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Detection of lower levels of SNAP25 using multiple microarray systems and its functional significance in medulloblastoma.
Huang CJ; Lee CL; Liu CY; Huang SH; Hou JW; Chen YH; Chien CC; Ho CM; Lo WC; Hung KL
Int J Mol Med; 2017 May; 39(5):1195-1205. PubMed ID: 28339008
[TBL] [Abstract][Full Text] [Related]
17. Integrated bioinformatics analysis reveals key candidate genes and pathways in breast cancer.
Wang Y; Zhang Y; Huang Q; Li C
Mol Med Rep; 2018 Jun; 17(6):8091-8100. PubMed ID: 29693125
[TBL] [Abstract][Full Text] [Related]
18. Identification of Core Genes and Pathways in Medulloblastoma by Integrated Bioinformatics Analysis.
Guo Y; Huang P; Ning W; Zhang H; Yu C
J Mol Neurosci; 2020 Nov; 70(11):1702-1712. PubMed ID: 32535713
[TBL] [Abstract][Full Text] [Related]
19. A molecular fingerprint for medulloblastoma.
Lee Y; Miller HL; Jensen P; Hernan R; Connelly M; Wetmore C; Zindy F; Roussel MF; Curran T; Gilbertson RJ; McKinnon PJ
Cancer Res; 2003 Sep; 63(17):5428-37. PubMed ID: 14500378
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
