234 related articles for article (PubMed ID: 34830301)
21. Convergence and divergence of genetic and modular networks between diabetes and breast cancer.
Zhang X; Zhang Y; Yu Y; Liu J; Yuan Y; Zhao Y; Li H; Wang J; Wang Z
J Cell Mol Med; 2015 May; 19(5):1094-102. PubMed ID: 25752479
[TBL] [Abstract][Full Text] [Related]
22. Molecular association of pathogenetic contributors to pre-eclampsia (pre-eclampsia associome).
Glotov AS; Tiys ES; Vashukova ES; Pakin VS; Demenkov PS; Saik OV; Ivanisenko TV; Arzhanova ON; Mozgovaya EV; Zainulina MS; Kolchanov NA; Baranov VS; Ivanisenko VA
BMC Syst Biol; 2015; 9 Suppl 2(Suppl 2):S4. PubMed ID: 25879409
[TBL] [Abstract][Full Text] [Related]
23. Integrated analysis of miRNA and mRNA expression in the blood of patients with Alzheimer's disease.
Wang Z; Shen L; Wang Y; Huang S
Mol Med Rep; 2020 Aug; 22(2):1053-1062. PubMed ID: 32468026
[TBL] [Abstract][Full Text] [Related]
24. Screening of Potential Genes and Transcription Factors of Postoperative Cognitive Dysfunction via Bioinformatics Methods.
Wang Y; Huang A; Gan L; Bao Y; Zhu W; Hu Y; Ma L; Wei S; Lan Y
Med Sci Monit; 2018 Jan; 24():503-510. PubMed ID: 29374768
[TBL] [Abstract][Full Text] [Related]
25. Genome-Wide Methylation of Mild Cognitive Impairment in Mexican Americans Highlights Genes Involved in Synaptic Transport, Alzheimer's Disease-Precursor Phenotypes, and Metabolic Morbidities.
Pathak GA; Silzer TK; Sun J; Zhou Z; Daniel AA; Johnson L; O'Bryant S; Phillips NR; Barber RC
J Alzheimers Dis; 2019; 72(3):733-749. PubMed ID: 31640099
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. MicroRNA Expression Signature in Mild Cognitive Impairment Due to Alzheimer's Disease.
De Felice B; Montanino C; Oliva M; Bonavita S; Di Onofrio V; Coppola C
Mol Neurobiol; 2020 Nov; 57(11):4408-4416. PubMed ID: 32737762
[TBL] [Abstract][Full Text] [Related]
28. Prioritization of genes involved in endothelial cell apoptosis by their implication in lymphedema using an analysis of associative gene networks with ANDSystem.
Saik OV; Nimaev VV; Usmonov DB; Demenkov PS; Ivanisenko TV; Lavrik IN; Ivanisenko VA
BMC Med Genomics; 2019 Mar; 12(Suppl 2):47. PubMed ID: 30871556
[TBL] [Abstract][Full Text] [Related]
29. Identification of key genes and crucial modules associated with coronary artery disease by bioinformatics analysis.
Zhang X; Cheng X; Liu H; Zheng C; Rao K; Fang Y; Zhou H; Xiong S
Int J Mol Med; 2014 Sep; 34(3):863-9. PubMed ID: 24969630
[TBL] [Abstract][Full Text] [Related]
30. Identification of Key Genes and Pathways in Tongue Squamous Cell Carcinoma Using Bioinformatics Analysis.
Zhang H; Liu J; Fu X; Yang A
Med Sci Monit; 2017 Dec; 23():5924-5932. PubMed ID: 29240723
[TBL] [Abstract][Full Text] [Related]
31. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
[TBL] [Abstract][Full Text] [Related]
32. Cognitive function and risks of cardiovascular disease and hypoglycaemia in patients with type 2 diabetes: the Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation (ADVANCE) trial.
de Galan BE; Zoungas S; Chalmers J; Anderson C; Dufouil C; Pillai A; Cooper M; Grobbee DE; Hackett M; Hamet P; Heller SR; Lisheng L; MacMahon S; Mancia G; Neal B; Pan CY; Patel A; Poulter N; Travert F; Woodward M;
Diabetologia; 2009 Nov; 52(11):2328-2336. PubMed ID: 19688336
[TBL] [Abstract][Full Text] [Related]
33. Bridging heterogeneous mutation data to enhance disease gene discovery.
Zhou K; Wang Y; Bretonnel Cohen K; Kim JD; Ma X; Shen Z; Meng X; Xia J
Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33847357
[TBL] [Abstract][Full Text] [Related]
34. Co‑expression network analysis identified specific miRNAs and genes in association with slow‑transit constipation.
Yu C; Zang L; Feng B; Zhang L; Xue P; Sun J; Dong F; Ma J; Zheng M
Mol Med Rep; 2020 Dec; 22(6):4696-4706. PubMed ID: 33174045
[TBL] [Abstract][Full Text] [Related]
35. A combined molecular biology and network pharmacology approach to investigate the multi-target mechanisms of Chaihu Shugan San on Alzheimer's disease.
Zeng Q; Li L; Siu W; Jin Y; Cao M; Li W; Chen J; Cong W; Ma M; Chen K; Wu Z
Biomed Pharmacother; 2019 Dec; 120():109370. PubMed ID: 31563815
[TBL] [Abstract][Full Text] [Related]
36. Genome-wide pathway analysis of memory impairment in the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort implicates gene candidates, canonical pathways, and networks.
Ramanan VK; Kim S; Holohan K; Shen L; Nho K; Risacher SL; Foroud TM; Mukherjee S; Crane PK; Aisen PS; Petersen RC; Weiner MW; Saykin AJ;
Brain Imaging Behav; 2012 Dec; 6(4):634-48. PubMed ID: 22865056
[TBL] [Abstract][Full Text] [Related]
37. Searching for essential genes and drug discovery in breast cancer and periodontitis via text mining and bioinformatics analysis.
Luo L; Zheng W; Chen C; Sun S
Anticancer Drugs; 2021 Nov; 32(10):1038-1045. PubMed ID: 34183495
[TBL] [Abstract][Full Text] [Related]
38. Systematic analysis of ovarian cancer platinum-resistance mechanisms via text mining.
Li H; Li J; Gao W; Zhen C; Feng L
J Ovarian Res; 2020 Mar; 13(1):27. PubMed ID: 32160916
[TBL] [Abstract][Full Text] [Related]
39. System analysis of LWDH related genes based on text mining in biological networks.
Liao M; Miao Y; Zhang L; Wang Y; Feng R; Yang L; Zhang S; Jiang Y; Liu G
Biomed Res Int; 2014; 2014():484926. PubMed ID: 25243143
[TBL] [Abstract][Full Text] [Related]
40. Prediction of the molecular mechanisms and potential therapeutic targets for diabetic nephropathy by bioinformatics methods.
Wang WN; Zhang WL; Zhou GY; Ma FZ; Sun T; Su SS; Xu ZG
Int J Mol Med; 2016 May; 37(5):1181-8. PubMed ID: 26986014
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]