134 related articles for article (PubMed ID: 31074380)
1. Extracting predictors for lung adenocarcinoma based on Granger causality test and stepwise character selection.
Fan X; Wang Y; Tang XQ
BMC Bioinformatics; 2019 May; 20(Suppl 7):197. PubMed ID: 31074380
[TBL] [Abstract][Full Text] [Related]
2. A transcriptional miRNA-gene network associated with lung adenocarcinoma metastasis based on the TCGA database.
Wang Y; Han R; Chen Z; Fu M; Kang J; Li K; Li L; Chen H; He Y
Oncol Rep; 2016 Apr; 35(4):2257-69. PubMed ID: 26781266
[TBL] [Abstract][Full Text] [Related]
3. Gene identification for risk of relapse in stage I lung adenocarcinoma patients: a combined methodology of gene expression profiling and computational gene network analysis.
Ludovini V; Bianconi F; Siggillino A; Piobbico D; Vannucci J; Metro G; Chiari R; Bellezza G; Puma F; Della Fazia MA; Servillo G; Crinò L
Oncotarget; 2016 May; 7(21):30561-74. PubMed ID: 27081700
[TBL] [Abstract][Full Text] [Related]
4. Comprehensive Analysis of DNA Methylation and Gene Expression Datasets Identified MMP9 and TWIST1 as Important Pathogenic Genes of Lung Adenocarcinoma.
Tian W; Li YS; Zhang JH; Li JJ; Gao JH
DNA Cell Biol; 2018 Apr; 37(4):336-346. PubMed ID: 29443542
[TBL] [Abstract][Full Text] [Related]
5. Unique microRNAs in lung adenocarcinoma groups according to major TKI sensitive EGFR mutation status.
Pak MG; Lee CH; Lee WJ; Shin DH; Roh MS
Diagn Pathol; 2015 Jul; 10():99. PubMed ID: 26170125
[TBL] [Abstract][Full Text] [Related]
6. GSNFS: Gene subnetwork biomarker identification of lung cancer expression data.
Doungpan N; Engchuan W; Chan JH; Meechai A
BMC Med Genomics; 2016 Dec; 9(Suppl 3):70. PubMed ID: 28117655
[TBL] [Abstract][Full Text] [Related]
7. Integrated analysis of DNA methylation and microRNA regulation of the lung adenocarcinoma transcriptome.
Du J; Zhang L
Oncol Rep; 2015 Aug; 34(2):585-94. PubMed ID: 26035298
[TBL] [Abstract][Full Text] [Related]
8. Integrative transcriptome analysis identifies deregulated microRNA-transcription factor networks in lung adenocarcinoma.
Cinegaglia NC; Andrade SC; Tokar T; Pinheiro M; Severino FE; Oliveira RA; Hasimoto EN; Cataneo DC; Cataneo AJ; Defaveri J; Souza CP; Marques MM; Carvalho RF; Coutinho LL; Gross JL; Rogatto SR; Lam WL; Jurisica I; Reis PP
Oncotarget; 2016 May; 7(20):28920-34. PubMed ID: 27081085
[TBL] [Abstract][Full Text] [Related]
9. CERNA SEARCH METHOD IDENTIFIED A MET-ACTIVATED SUBGROUP AMONG EGFR DNA AMPLIFIED LUNG ADENOCARCINOMA PATIENTS.
Kabat H; Tunkle L; Lee I
Pac Symp Biocomput; 2017; 22():438-448. PubMed ID: 27896996
[TBL] [Abstract][Full Text] [Related]
10. Prediction of potential drivers connecting different dysfunctional levels in lung adenocarcinoma via a protein-protein interaction network.
Yuan F; Lu W
Biochim Biophys Acta Mol Basis Dis; 2018 Jun; 1864(6 Pt B):2284-2293. PubMed ID: 29197663
[TBL] [Abstract][Full Text] [Related]
11. Identification of a three-miRNA signature as a blood-borne diagnostic marker for early diagnosis of lung adenocarcinoma.
Wang Y; Zhao H; Gao X; Wei F; Zhang X; Su Y; Wang C; Li H; Ren X
Oncotarget; 2016 May; 7(18):26070-86. PubMed ID: 27036025
[TBL] [Abstract][Full Text] [Related]
12. Secreted phosphoprotein 1 upstream invasive network construction and analysis of lung adenocarcinoma compared with human normal adjacent tissues by integrative biocomputation.
Sun Y; Wang L; Jiang M; Huang J; Liu Z; Wolfl S
Cell Biochem Biophys; 2010 Apr; 56(2-3):59-71. PubMed ID: 19949890
[TBL] [Abstract][Full Text] [Related]
13. Integrated analysis reveals candidate genes and transcription factors in lung adenocarcinoma.
Chen B; Gao S; Ji C; Song G
Mol Med Rep; 2017 Dec; 16(6):8371-8379. PubMed ID: 28983631
[TBL] [Abstract][Full Text] [Related]
14. DNA methylation mediated silencing of microRNA-145 is a potential prognostic marker in patients with lung adenocarcinoma.
Xia W; Chen Q; Wang J; Mao Q; Dong G; Shi R; Zheng Y; Xu L; Jiang F
Sci Rep; 2015 Nov; 5():16901. PubMed ID: 26582602
[TBL] [Abstract][Full Text] [Related]
15. Bioinformatics analyses of the differences between lung adenocarcinoma and squamous cell carcinoma using The Cancer Genome Atlas expression data.
Sun F; Yang X; Jin Y; Chen L; Wang L; Shi M; Zhan C; Shi Y; Wang Q
Mol Med Rep; 2017 Jul; 16(1):609-616. PubMed ID: 28560415
[TBL] [Abstract][Full Text] [Related]
16. A systems biology approach for miRNA-mRNA expression patterns analysis in non-small cell lung cancer.
Najafi A; Tavallaei M; Hosseini SM
Cancer Biomark; 2016; 16(1):31-45. PubMed ID: 26484609
[TBL] [Abstract][Full Text] [Related]
17. Integrated Analysis of DNA Methylation and mRNA Expression Profiles Data to Identify Key Genes in Lung Adenocarcinoma.
Jin X; Liu X; Li X; Guan Y
Biomed Res Int; 2016; 2016():4369431. PubMed ID: 27610375
[TBL] [Abstract][Full Text] [Related]
18. Identification of candidate miRNA biomarkers for pancreatic ductal adenocarcinoma by weighted gene co-expression network analysis.
Giulietti M; Occhipinti G; Principato G; Piva F
Cell Oncol (Dordr); 2017 Apr; 40(2):181-192. PubMed ID: 28205147
[TBL] [Abstract][Full Text] [Related]
19. MicroRNA profiling in lung cancer reveals new molecular markers for diagnosis.
Solomides CC; Evans BJ; Navenot JM; Vadigepalli R; Peiper SC; Wang ZX
Acta Cytol; 2012; 56(6):645-54. PubMed ID: 23207443
[TBL] [Abstract][Full Text] [Related]
20. Clinical Value and Prospective Pathway Signaling of MicroRNA-375 in Lung Adenocarcinoma: A Study Based on the Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) and Bioinformatics Analysis.
Gan TQ; Chen WJ; Qin H; Huang SN; Yang LH; Fang YY; Pan LJ; Li ZY; Chen G
Med Sci Monit; 2017 May; 23():2453-2464. PubMed ID: 28533502
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
