192 related articles for article (PubMed ID: 37482618)
21. Identification of novel biomarkers, MUC5AC, MUC1, KRT7, GAPDH, CD44 for gastric cancer.
Yang J
Med Oncol; 2020 Mar; 37(5):34. PubMed ID: 32219571
[TBL] [Abstract][Full Text] [Related]
22.
Zhang J; Guo S; Wu Y; Zheng ZC; Wang Y; Zhao Y
Biomed Res Int; 2019; 2019():9749751. PubMed ID: 31467922
[TBL] [Abstract][Full Text] [Related]
23. Global gene expression analysis of knockdown Triosephosphate isomerase (TPI) gene in human gastric cancer cell line MGC-803.
Ouyang P; Lin B; Du J; Pan H; Yu H; He R; Huang Z
Gene; 2018 Mar; 647():61-72. PubMed ID: 29307852
[TBL] [Abstract][Full Text] [Related]
24. Identification of Key Genes in Gastric Cancer by Bioinformatics Analysis.
Chong X; Peng R; Sun Y; Zhang L; Zhang Z
Biomed Res Int; 2020; 2020():7658230. PubMed ID: 33015179
[TBL] [Abstract][Full Text] [Related]
25. Screening and Functional Prediction of Key Candidate Genes in Hepatitis B Virus-Associated Hepatocellular Carcinoma.
Chen X; Liao L; Li Y; Huang H; Huang Q; Deng S
Biomed Res Int; 2020; 2020():7653506. PubMed ID: 33102593
[TBL] [Abstract][Full Text] [Related]
26. Comprehensive Analysis of a circRNA-miRNA-mRNA Network to Reveal Potential Inflammation-Related Targets for Gastric Adenocarcinoma.
Liu Y; Xu Y; Xiao F; Zhang J; Wang Y; Yao Y; Yang J
Mediators Inflamm; 2020; 2020():9435608. PubMed ID: 32801999
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. 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]
29. Identification of the pivotal role of SPP1 in kidney stone disease based on multiple bioinformatics analysis.
Hong SY; Xia QD; Xu JZ; Liu CQ; Sun JX; Xun Y; Wang SG
BMC Med Genomics; 2022 Jan; 15(1):7. PubMed ID: 35016690
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. Identification of Hub Genes in Anaplastic Thyroid Carcinoma: Evidence From Bioinformatics Analysis.
Li L; Zhu M; Huang H; Wu J; Meng D
Technol Cancer Res Treat; 2020; 19():1533033820962135. PubMed ID: 33025856
[TBL] [Abstract][Full Text] [Related]
32. Identification of downregulated circRNAs from tissue and plasma of patients with gastric cancer and construction of a circRNA-miRNA-mRNA network.
Liu J; Li Z; Teng W; Ye X
J Cell Biochem; 2020 Nov; 121(11):4590-4600. PubMed ID: 32052496
[TBL] [Abstract][Full Text] [Related]
33. Bioinformatics analyses of gene expression profile identify key genes and functional pathways involved in cutaneous lupus erythematosus.
Gao ZY; Su LC; Wu QC; Sheng JE; Wang YL; Dai YF; Chen AP; He SS; Huang X; Yan GQ
Clin Rheumatol; 2022 Feb; 41(2):437-452. PubMed ID: 34553293
[TBL] [Abstract][Full Text] [Related]
34. Integrated analysis of a ceRNA network reveals potential prognostic lncRNAs in gastric cancer.
Qi M; Yu B; Yu H; Li F
Cancer Med; 2020 Mar; 9(5):1798-1817. PubMed ID: 31923354
[TBL] [Abstract][Full Text] [Related]
35. Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.
Vastrad B; Vastrad C; Godavarthi A; Chandrashekar R
Med Oncol; 2017 Sep; 34(11):182. PubMed ID: 28952134
[TBL] [Abstract][Full Text] [Related]
36. Identifying Diagnostic and Prognostic Biomarkers and Candidate Therapeutic Drugs of Gastric Cancer Based on Transcriptomics and Single-Cell Sequencing.
Zhao X; Wu S; Jing J
Pathol Oncol Res; 2021; 27():1609955. PubMed ID: 34899080
[No Abstract] [Full Text] [Related]
37. Systematic Elucidation of the Mechanism of Quercetin against Gastric Cancer via Network Pharmacology Approach.
Yang L; Hu Z; Zhu J; Liang Q; Zhou H; Li J; Fan X; Zhao Z; Pan H; Fei B
Biomed Res Int; 2020; 2020():3860213. PubMed ID: 32964029
[TBL] [Abstract][Full Text] [Related]
38. Bioinformatics methods for identifying differentially expressed genes and signaling pathways in nano-silica stimulated macrophages.
Zhang L; Hao C; Li J; Qu Y; Bao L; Li Y; Yue Z; Zhang M; Yu X; Chen H; Zhang J; Wang D; Yao W
Tumour Biol; 2017 Jun; 39(6):1010428317709284. PubMed ID: 28653889
[TBL] [Abstract][Full Text] [Related]
39. An ego network analysis approach identified important biomarkers with an association to progression and metastasis of gastric cancer.
Tian X; Ju H; Yang W
J Cell Biochem; 2019 Sep; 120(9):15963-15970. PubMed ID: 31081222
[TBL] [Abstract][Full Text] [Related]
40. Comprehensive bioinformation analysis of methylated and differentially expressed genes in esophageal squamous cell carcinoma.
Peng H; Wang S; Pang L; Yang L; Chen Y; Cui XB
Mol Omics; 2019 Feb; 15(1):88-100. PubMed ID: 30706927
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]