350 related articles for article (PubMed ID: 31032340)
1. In Silico Integration Approach Reveals Key MicroRNAs and Their Target Genes in Follicular Thyroid Carcinoma.
Hu S; Liao Y; Zheng J; Gou L; Regmi A; Zafar MI; Chen L
Biomed Res Int; 2019; 2019():2725192. PubMed ID: 31032340
[TBL] [Abstract][Full Text] [Related]
2. Network-Based Genetic Profiling Reveals Cellular Pathway Differences Between Follicular Thyroid Carcinoma and Follicular Thyroid Adenoma.
Hossain MA; Asa TA; Rahman MM; Uddin S; Moustafa AA; Quinn JMW; Moni MA
Int J Environ Res Public Health; 2020 Feb; 17(4):. PubMed ID: 32093341
[TBL] [Abstract][Full Text] [Related]
3. Integrated Microarray to Identify the Hub miRNAs and Constructed miRNA-mRNA Network in Neuroblastoma Via Bioinformatics Analysis.
Chen B; Hua Z; Qin X; Li Z
Neurochem Res; 2021 Feb; 46(2):197-212. PubMed ID: 33104965
[TBL] [Abstract][Full Text] [Related]
4. Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis.
Mou T; Zhu D; Wei X; Li T; Zheng D; Pu J; Guo Z; Wu Z
World J Surg Oncol; 2017 Mar; 15(1):63. PubMed ID: 28302149
[TBL] [Abstract][Full Text] [Related]
5. Bioinformatics Analysis of mRNAs and miRNAs for Identifying Potential Biomarkers in Lung Adenosquamous Carcinoma.
Nie J; Gong L; Li Z; Ou D; Zhang L; Liu Y; Zhang J; Liu D
Comput Math Methods Med; 2022; 2022():5851269. PubMed ID: 35281953
[TBL] [Abstract][Full Text] [Related]
6. Bioinformatics Analysis Identifies the Estrogen Receptor 1 (ESR1) Gene and hsa-miR-26a-5p as Potential Prognostic Biomarkers in Patients with Intrahepatic Cholangiocarcinoma.
Qin X; Song Y
Med Sci Monit; 2020 May; 26():e921815. PubMed ID: 32435051
[TBL] [Abstract][Full Text] [Related]
7. Analysis of miRNA-mRNA regulatory network revealed key genes induced by aflatoxin B1 exposure in primary human hepatocytes.
Zhang Z; Tang D; Wang B; Wang Z; Liu M
Mol Genet Genomic Med; 2019 Nov; 7(11):e971. PubMed ID: 31502424
[TBL] [Abstract][Full Text] [Related]
8. In silico identification of key genes and signaling pathways targeted by a panel of signature microRNAs in prostate cancer.
Baruah MM; Sharma N
Med Oncol; 2019 Apr; 36(5):43. PubMed ID: 30937635
[TBL] [Abstract][Full Text] [Related]
9. Identification of Pivotal MicroRNAs and Target Genes Associated with Persistent Atrial Fibrillation Based on Bioinformatics Analysis.
Xiao S; Zhou Y; Liu Q; Zhang T; Pan D
Comput Math Methods Med; 2021; 2021():6680211. PubMed ID: 33747117
[TBL] [Abstract][Full Text] [Related]
10. Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments.
Zhang T; Guo J; Gu J; Wang Z; Wang G; Li H; Wang J
Oncol Rep; 2019 Jan; 41(1):279-291. PubMed ID: 30542696
[TBL] [Abstract][Full Text] [Related]
11. Integrated Bioinformatics Analysis of mRNAs and miRNAs Identified Potential Biomarkers of Oral Squamous Cell Carcinoma.
Amiri-Dashatan N; Koushki M; Jalilian A; Ahmadi NA; Rezaei-Tavirani M
Asian Pac J Cancer Prev; 2020 Jun; 21(6):1841-1848. PubMed ID: 32597160
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Identification of key genes and associated pathways in KIT/PDGFRA wild‑type gastrointestinal stromal tumors through bioinformatics analysis.
Wang WJ; Li HT; Yu JP; Li YM; Han XP; Chen P; Yu WW; Chen WK; Jiao ZY; Liu HB
Mol Med Rep; 2018 Nov; 18(5):4499-4515. PubMed ID: 30221743
[TBL] [Abstract][Full Text] [Related]
14. Construction of a MicroRNA-mRNA Network Underlying Decidualized Endometriotic Cyst Stromal Cells Using Bioinformatics Analysis.
Li J; Zhao B; Yang C; Chen Q
Biomed Res Int; 2020; 2020():9246868. PubMed ID: 32923489
[TBL] [Abstract][Full Text] [Related]
15. Identification and interaction analysis of key miRNAs in medullary thyroid carcinoma by bioinformatics analysis.
Zhang L; Lu D; Liu M; Zhang M; Peng Q
Mol Med Rep; 2019 Sep; 20(3):2316-2324. PubMed ID: 31322209
[TBL] [Abstract][Full Text] [Related]
16. MiR-375: A prospective regulator in medullary thyroid cancer based on microarray data and bioinformatics analyses.
Shi L; Zhao SM; Luo Y; Zhang AW; Wei LH; Xie ZY; Li YY; Ma W
Pathol Res Pract; 2017 Nov; 213(11):1344-1354. PubMed ID: 29033189
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Bioinformatics analysis of mRNA and miRNA microarray to identify the key miRNA-mRNA pairs in cisplatin-resistant ovarian cancer.
Xue B; Li S; Jin X; Liu L
BMC Cancer; 2021 Apr; 21(1):452. PubMed ID: 33892654
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Underlying Genes Involved in Atherosclerotic Macrophages: Insights from Microarray Data Mining.
Wang W; Zhang K; Zhang H; Li M; Zhao Y; Wang B; Xin W; Yang W; Zhang J; Yue S; Yang X
Med Sci Monit; 2019 Dec; 25():9949-9962. PubMed ID: 31875420
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
