359 related articles for article (PubMed ID: 32756534)
21. Biomarker identification and trans-regulatory network analyses in esophageal adenocarcinoma and Barrett's esophagus.
Lv J; Guo L; Wang JH; Yan YZ; Zhang J; Wang YY; Yu Y; Huang YF; Zhao HP
World J Gastroenterol; 2019 Jan; 25(2):233-244. PubMed ID: 30670912
[TBL] [Abstract][Full Text] [Related]
22. Screening and validating the core biomarkers in patients with pancreatic ductal adenocarcinoma.
Li Y; Zhu YY; Dai GP; Wu DJ; Gao ZZ; Zhang L; Fan YH
Math Biosci Eng; 2019 Nov; 17(1):910-927. PubMed ID: 31731384
[TBL] [Abstract][Full Text] [Related]
23. Hub Genes and Long Noncoding RNAs That Regulates It Associated with the Prognosis of Esophageal Squamous Cell Carcinoma Based on Bioinformatics Analysis.
Lu J; Li R; Fang M; Ke S
Comput Math Methods Med; 2022; 2022():6027058. PubMed ID: 36238478
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. A Novel Three-miRNA Signature Identified Using Bioinformatics Predicts Survival in Esophageal Carcinoma.
Wu K; Zhang C; Zhang C; Dai D
Biomed Res Int; 2020; 2020():5973082. PubMed ID: 32104700
[TBL] [Abstract][Full Text] [Related]
26. Identification of a PLCE1‑regulated competing endogenous RNA regulatory network for esophageal squamous cell carcinoma.
Yang Z; Hui Y; Peng H; Zhang H; Li M; Song L; Li F; Cui X
Oncol Rep; 2021 Mar; 45(3):857-868. PubMed ID: 33650665
[TBL] [Abstract][Full Text] [Related]
27. Identification of Potential Biomarkers Associated with Prognosis in Gastric Cancer via Bioinformatics Analysis.
Li D; Yin Y; He M; Wang J
Med Sci Monit; 2021 Feb; 27():e929104. PubMed ID: 33582701
[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. 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]
30. Identification of Key Biomarkers and Potential Molecular Mechanisms in Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
Yang B; Dong K; Guo P; Guo P; Jie G; Zhang G; Li T
J Comput Biol; 2020 Jan; 27(1):40-54. PubMed ID: 31424263
[TBL] [Abstract][Full Text] [Related]
31. Extracellular Matrix-Related Hubs Genes Have Adverse Effects on Gastric Adenocarcinoma Prognosis Based on Bioinformatics Analysis.
Alatan H; Chen Y; Zhou J; Wang L
Genes (Basel); 2021 Jul; 12(7):. PubMed ID: 34356118
[TBL] [Abstract][Full Text] [Related]
32. Identification of Key Modules and Hub Genes Involved in Esophageal Squamous Cell Carcinoma Tumorigenesis Using WCGNA.
Chen N; Zhang G; Fu J; Wu Q
Cancer Control; 2020; 27(1):1073274820978817. PubMed ID: 33345608
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. 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]
35. Identification of Differentially Expressed Genes and miRNAs Associated with Esophageal Squamous Cell Carcinoma by Integrated Analysis of Microarray Data.
Zhang L; Chen J; Cheng T; Yang H; Pan C; Li H
Biomed Res Int; 2020; 2020():1980921. PubMed ID: 32714975
[TBL] [Abstract][Full Text] [Related]
36. Identification of molecular targets for esophageal carcinoma diagnosis using miRNA-seq and RNA-seq data from The Cancer Genome Atlas: a study of 187 cases.
Zeng JH; Xiong DD; Pang YY; Zhang Y; Tang RX; Luo DZ; Chen G
Oncotarget; 2017 May; 8(22):35681-35699. PubMed ID: 28415685
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. 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]
39. Screening and identification of key biomarkers of papillary renal cell carcinoma by bioinformatic analysis.
Xu Y; Kong D; Li Z; Qian L; Li J; Zou C
PLoS One; 2021; 16(8):e0254868. PubMed ID: 34358255
[TBL] [Abstract][Full Text] [Related]
40. Derivation and Validation of the Potential Core Genes in Pancreatic Cancer for Tumor-Stroma Crosstalk.
Xue R; Hua L; Xu W; Gao Y; Pang Y; Hao J
Biomed Res Int; 2018; 2018():4283673. PubMed ID: 30519576
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]