180 related articles for article (PubMed ID: 33752310)
21. 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]
22. Identification of DNA methylation-regulated differentially-expressed genes and related pathways using Illumina 450K BeadChip and bioinformatic analysis in gastric cancer.
Liang Y; Zhang C; Dai DQ
Pathol Res Pract; 2019 Oct; 215(10):152570. PubMed ID: 31378454
[TBL] [Abstract][Full Text] [Related]
23. Gastric Cancer Cell Lines Have Different
Maués JHDS; Ribeiro HF; Pinto GR; Lopes LO; Lamarão LM; Pessoa CMF; Moreira-Nunes CFA; de Carvalho RM; Assumpção PP; Rey JA; Burbano RMR
Can J Gastroenterol Hepatol; 2018; 2018():5804376. PubMed ID: 30410872
[No Abstract] [Full Text] [Related]
24. Identification of Prognostic Related Hub Genes in Clear-Cell Renal Cell Carcinoma
Jiang P; Sun TT; Chen CW; Huang RS; Zhong ZM; Lou XJ; Liu G; Wang L; Zuo RH
Chin Med Sci J; 2021 Jun; 36(2):127-134. PubMed ID: 34231461
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Identification of Potential Crucial Genes and Key Pathways in Breast Cancer Using Bioinformatic Analysis.
Deng JL; Xu YH; Wang G
Front Genet; 2019; 10():695. PubMed ID: 31428132
[No Abstract] [Full Text] [Related]
27. Key Genes Associated with Prognosis and Tumor Infiltrating Immune Cells in Gastric Cancer Patients Identified by Cross-Database Analysis.
Zhang T; Wang BF; Wang XY; Xiang L; Zheng P; Li HY; Tao PX; Wang DF; Gu BH; Chen H
Cancer Biother Radiopharm; 2020 Nov; 35(9):696-710. PubMed ID: 32401038
[No Abstract] [Full Text] [Related]
28. Identification of significant biomarkers and pathways associated with gastric carcinogenesis by whole genome-wide expression profiling analysis.
Fei HJ; Chen SC; Zhang JY; Li SY; Zhang LL; Chen YY; Chang CX; Xu CM
Int J Oncol; 2018 Mar; 52(3):955-966. PubMed ID: 29328368
[TBL] [Abstract][Full Text] [Related]
29. [Screening of differentially expressed genes in gastric cancer based on GEO database and function and pathway enrichment analysis].
Liang Y; Lai Y; Yuan Y; Yuan W; Zhang X; Zhang B; Lu Z
Nan Fang Yi Ke Da Xue Xue Bao; 2024 Mar; 44(3):605-616. PubMed ID: 38597453
[TBL] [Abstract][Full Text] [Related]
30. Identification and Analysis of Key Genes Driving Gastric Cancer Through Bioinformatics.
Liu Z; Liu S; Guo J; Sun L; Wang S; Wang Y; Qiu W; Lv J
Genet Test Mol Biomarkers; 2021 Jan; 25(1):1-11. PubMed ID: 33470887
[No Abstract] [Full Text] [Related]
31. Identification of key biomarkers and potential signaling pathway associated with poor progression of gastric cancer.
Hu Y; Hu Z; Ding H; Li Y; Zhao X; Shao M; Pan Y
Transl Cancer Res; 2020 Sep; 9(9):5459-5472. PubMed ID: 35117911
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. Identification of Genes Universally Differentially Expressed in Gastric Cancer.
Shi Y; Qi L; Chen H; Zhang J; Guan Q; He J; Li M; Guo Z; Yan H; Li P
Biomed Res Int; 2021; 2021():7326853. PubMed ID: 33542925
[TBL] [Abstract][Full Text] [Related]
34. Analysis of genes associated with prognosis of lung adenocarcinoma based on GEO and TCGA databases.
Yu Y; Tian X
Medicine (Baltimore); 2020 May; 99(19):e20183. PubMed ID: 32384511
[TBL] [Abstract][Full Text] [Related]
35. Upregulated cyclins may be novel genes for triple-negative breast cancer based on bioinformatic analysis.
Lu Y; Yang G; Xiao Y; Zhang T; Su F; Chang R; Ling X; Bai Y
Breast Cancer; 2020 Sep; 27(5):903-911. PubMed ID: 32338339
[TBL] [Abstract][Full Text] [Related]
36. Identification of novel hub genes associated with gastric cancer using integrated bioinformatics analysis.
Lu XQ; Zhang JQ; Zhang SX; Qiao J; Qiu MT; Liu XR; Chen XX; Gao C; Zhang HH
BMC Cancer; 2021 Jun; 21(1):697. PubMed ID: 34126961
[TBL] [Abstract][Full Text] [Related]
37. Microarray gene expression profiling and bioinformatics analysis reveal key differentially expressed genes in clival and sacral chordoma cell lines.
Li G; Cai L; Zhou L
Neurol Res; 2019 Jun; 41(6):554-561. PubMed ID: 30821656
[TBL] [Abstract][Full Text] [Related]
38. Identification of core genes and outcome in gastric cancer using bioinformatics analysis.
Sun C; Yuan Q; Wu D; Meng X; Wang B
Oncotarget; 2017 Sep; 8(41):70271-70280. PubMed ID: 29050278
[TBL] [Abstract][Full Text] [Related]
39. [Bioinformatics analysis of COL1A1 regulated by miR-129-5p as a potential therapeutic target for gastric cancer].
Yang W; Pan Y; Guan P; Li X; You C
Nan Fang Yi Ke Da Xue Xue Bao; 2019 May; 39(5):540-546. PubMed ID: 31140417
[TBL] [Abstract][Full Text] [Related]
40. Identification of hub genes and regulators associated with pancreatic ductal adenocarcinoma based on integrated gene expression profile analysis.
Shang M; Zhang L; Chen X; Zheng S
Discov Med; 2019 Sep; 28(153):159-172. PubMed ID: 31926587
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]