152 related articles for article (PubMed ID: 30708140)
1. Identification and characterization of differentially expressed genes in Type 2 Diabetes using in silico approach.
Gupta MK; Vadde R
Comput Biol Chem; 2019 Apr; 79():24-35. PubMed ID: 30708140
[TBL] [Abstract][Full Text] [Related]
2. Integrated analysis of the gene expression profile and DNA methylation profile of obese patients with type 2 diabetes.
Shen J; Zhu B
Mol Med Rep; 2018 Jun; 17(6):7636-7644. PubMed ID: 29620215
[TBL] [Abstract][Full Text] [Related]
3. A Network-Based Bioinformatics Approach to Identify Molecular Biomarkers for Type 2 Diabetes that Are Linked to the Progression of Neurological Diseases.
Rahman MH; Peng S; Hu X; Chen C; Rahman MR; Uddin S; Quinn JMW; Moni MA
Int J Environ Res Public Health; 2020 Feb; 17(3):. PubMed ID: 32041280
[TBL] [Abstract][Full Text] [Related]
4. The key genes underlying pathophysiology association between the type 2-diabetic and colorectal cancer.
Peng WF; Bai F; Shao K; Shen LS; Li HH; Huang S
J Cell Physiol; 2018 Nov; 233(11):8551-8557. PubMed ID: 29319171
[TBL] [Abstract][Full Text] [Related]
5. In silico identification and functional prediction of differentially expressed genes in South Asian populations associated with type 2 diabetes.
Rabby MG; Rahman MH; Islam MN; Kamal MM; Biswas M; Bonny M; Hasan MM
PLoS One; 2023; 18(12):e0294399. PubMed ID: 38096208
[TBL] [Abstract][Full Text] [Related]
6. Identification and analysis of hub genes of hypoxia-immunity in type 2 diabetes mellitus.
Li J; Yan N; Li X; He S; Yu X
Front Genet; 2023; 14():1154839. PubMed ID: 37153000
[TBL] [Abstract][Full Text] [Related]
7. Identification of the Genetic Association Between Type-2-Diabetes and Pancreatic Cancer.
Liang Y; Chen W; Tang Y; Chen M
Biochem Genet; 2023 Jun; 61(3):1143-1162. PubMed ID: 36484959
[TBL] [Abstract][Full Text] [Related]
8. Identification of key genes involved in type 2 diabetic islet dysfunction: a bioinformatics study.
Zhong M; Wu Y; Ou W; Huang L; Yang L
Biosci Rep; 2019 May; 39(5):. PubMed ID: 31088900
[No Abstract] [Full Text] [Related]
9. Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis.
Li T; Gao X; Han L; Yu J; Li H
World J Surg Oncol; 2018 Jun; 16(1):114. PubMed ID: 29921304
[TBL] [Abstract][Full Text] [Related]
10. Identification of Crucial Genes and Key Functions in Type 2 Diabetic Hearts by Bioinformatic Analysis.
Huang X; Zhang KJ; Jiang JJ; Jiang SY; Lin JB; Lou YJ
Front Endocrinol (Lausanne); 2022; 13():801260. PubMed ID: 35242109
[TBL] [Abstract][Full Text] [Related]
11. Exploring the molecular mechanism underlying the psoriasis and T2D by using microarray data analysis.
Yang L; Zhang L; Du Q; Gong X; Tian J
Sci Rep; 2023 Nov; 13(1):19313. PubMed ID: 37935955
[TBL] [Abstract][Full Text] [Related]
12. Investigation of candidate genes and mechanisms underlying obesity associated type 2 diabetes mellitus using bioinformatics analysis and screening of small drug molecules.
Prashanth G; Vastrad B; Tengli A; Vastrad C; Kotturshetti I
BMC Endocr Disord; 2021 Apr; 21(1):80. PubMed ID: 33902539
[TBL] [Abstract][Full Text] [Related]
13. Gene expression profiling analysis of the role of miR-22 in clear cell ovarian cancer.
Zhen YB; Guo XL; Xu B; Zhao HW; Xu CJ
Neoplasma; 2016; 63(6):856-864. PubMed ID: 27565323
[TBL] [Abstract][Full Text] [Related]
14. Expression profile of mitrogen-activated protein kinase (MAPK) signaling genes in the skeletal muscle & liver of rat with type 2 diabetes: role in disease pathology.
Tang X; Deng L; Xiong H; Li G; Lin J; Liu S; Xie J; Liu J; Kong F; Tu G; Peng H; Liang S
Indian J Med Res; 2014 Dec; 140(6):744-55. PubMed ID: 25758573
[TBL] [Abstract][Full Text] [Related]
15. Landscape of the relationship between type 2 diabetes and coronary heart disease through an integrated gene network analysis.
Dong C; Tang L; Liu Z; Bu S; Liu Q; Wang Q; Mai Y; Wang DW; Duan S
Gene; 2014 Apr; 539(1):30-6. PubMed ID: 24508273
[TBL] [Abstract][Full Text] [Related]
16. Transcriptome analyses identify key genes and potential mechanisms in a rat model of osteoarthritis.
Li HZ; Lu HD
J Orthop Surg Res; 2018 Dec; 13(1):319. PubMed ID: 30551734
[TBL] [Abstract][Full Text] [Related]
17. Highly perturbed genes and hub genes associated with type 2 diabetes in different tissues of adult humans: a bioinformatics analytic workflow.
De Silva K; Demmer RT; Jönsson D; Mousa A; Forbes A; Enticott J
Funct Integr Genomics; 2022 Oct; 22(5):1003-1029. PubMed ID: 35788821
[TBL] [Abstract][Full Text] [Related]
18. Combining bioinformatics, network pharmacology and artificial intelligence to predict the mechanism of celastrol in the treatment of type 2 diabetes.
Wu M; Zhang Y
Front Endocrinol (Lausanne); 2022; 13():1030278. PubMed ID: 36339449
[TBL] [Abstract][Full Text] [Related]
19. Identification of key genes and transcription factors in aging mesenchymal stem cells by DNA microarray data.
Wu Y; Yang J; Ai Z; Yu M; Li J; Li S
Gene; 2019 Apr; 692():79-87. PubMed ID: 30641220
[TBL] [Abstract][Full Text] [Related]
20. Deciphering the therapeutic mechanisms of Xiao-Ke-An in treatment of type 2 diabetes in mice by a Fangjiomics approach.
Yang ZZ; Liu W; Zhang F; Li Z; Cheng YY
Acta Pharmacol Sin; 2015 Jun; 36(6):699-707. PubMed ID: 25960133
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
