135 related articles for article (PubMed ID: 34951224)
1. [Scr eening of key genes and pathways of brain aging and prediction of potential effective Chinese medicinals: based on bioinformatics].
Wu D; Wang X; Yang J; Wu Y; Liu YN; Xiu CK; Wang JL; Liu YQ; Lei Y
Zhongguo Zhong Yao Za Zhi; 2021 Nov; 46(21):5701-5709. PubMed ID: 34951224
[TBL] [Abstract][Full Text] [Related]
2. [Bioinformatic analysis of differentially expressed genes and Chinese medicine prediction for ulcerative colitis].
Hu ZR; Zheng WJ; Yan Q; Hu WW; Sun XS
Zhongguo Zhong Yao Za Zhi; 2020 Apr; 45(7):1684-1690. PubMed ID: 32489050
[TBL] [Abstract][Full Text] [Related]
3. [Screening of key genes and pathways of ischemic stroke and prediction of traditional Chinese medicines based on bioinformatics].
Cao Y; Kong LB; Huang X; Li XL; Chang JL; Gao Y
Zhongguo Zhong Yao Za Zhi; 2021 Apr; 46(7):1803-1812. PubMed ID: 33982485
[TBL] [Abstract][Full Text] [Related]
4. [Screening of differentially expressed genes for colorectal cancer and prediction of potential traditional Chinese medicine: based on bioinformatics].
Yun ZJ; Wang HJ; Yu YX; Sun ZY; Yao SK
Zhongguo Zhong Yao Za Zhi; 2022 Mar; 47(6):1666-1676. PubMed ID: 35347966
[TBL] [Abstract][Full Text] [Related]
5. [Bioinformatics analysis of ventilator-induced lung injury genome microarray based on gene expression omnibus database and key gene verification].
Chen S; Zhang Y; Zhan Q
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Jan; 34(1):41-47. PubMed ID: 35307059
[TBL] [Abstract][Full Text] [Related]
6. [Bioinformatics analysis and key gene verification of sepsis myocardial macrophage microarray data based on GEO database].
Hu DX; Chen SS; Yu Y; Hu LL; Liu L; Yu LL
Zhonghua Xin Xue Guan Bing Za Zhi; 2023 Jul; 51(7):759-768. PubMed ID: 37460430
[No Abstract] [Full Text] [Related]
7. Bioinformatics analysis of gene expression profile data to screen key genes involved in intracranial aneurysms.
Guo T; Hou D; Yu D
Mol Med Rep; 2019 Nov; 20(5):4415-4424. PubMed ID: 31545495
[TBL] [Abstract][Full Text] [Related]
8. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
[TBL] [Abstract][Full Text] [Related]
9. [Exploring and bioinformatics analysis of differentially expressed genes in bronchial asthma].
Zhang MY; Ren W; Chen SS; Zhang Q; Li CX; Wan JX; Lin JT
Zhonghua Yi Xue Za Zhi; 2021 Dec; 101(46):3809-3813. PubMed ID: 34895422
[No Abstract] [Full Text] [Related]
10. [Exploration of omics mechanism and drug prediction of coronavirus-induced heart failure based on clinical bioinformatics].
Chen XM; Cao F; Zhang HM; Chen HR; Zhang JD; Zhi P; Li ZY; Wang YX; Lu XC
Zhonghua Xin Xue Guan Bing Za Zhi; 2020 Jul; 48(7):587-592. PubMed ID: 32228827
[No Abstract] [Full Text] [Related]
11. Identification of differentially expressed genes, signaling pathways and immune infiltration in rheumatoid arthritis by integrated bioinformatics analysis.
Ge Y; Zhou L; Chen Z; Mao Y; Li T; Tong P; Shan L
Hereditas; 2021 Jan; 158(1):5. PubMed ID: 33397492
[TBL] [Abstract][Full Text] [Related]
12. Bioinformatic analysis of key pathways and genes involved in pediatric atopic dermatitis.
Wang T; Zhang B; Li D; Qi X; Zhang C
Biosci Rep; 2021 Jan; 41(1):. PubMed ID: 33289509
[TBL] [Abstract][Full Text] [Related]
13. [Study on network pharmacological mechanism of "treating different diseases with same method" of Notoginseng Radix et Rhizoma in treating diabetic nephropathy, diabetic encephalopathy and diabetic cardiomyopathy].
Xiang CP; Zhou R; Zhang JJ; Yang HJ
Zhongguo Zhong Yao Za Zhi; 2021 May; 46(10):2424-2433. PubMed ID: 34047086
[TBL] [Abstract][Full Text] [Related]
14. Identification of Key Genes and Pathways in Myeloma side population cells by Bioinformatics Analysis.
Yang Q; Li K; Li X; Liu J
Int J Med Sci; 2020; 17(14):2063-2076. PubMed ID: 32922167
[No Abstract] [Full Text] [Related]
15. Identification of key pathways and genes in colorectal cancer using bioinformatics analysis.
Liang B; Li C; Zhao J
Med Oncol; 2016 Oct; 33(10):111. PubMed ID: 27581154
[TBL] [Abstract][Full Text] [Related]
16. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.
Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K
Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538
[TBL] [Abstract][Full Text] [Related]
17. Identification of key genes and pathways in pelvic organ prolapse based on gene expression profiling by bioinformatics analysis.
Zhou Q; Hong L; Wang J
Arch Gynecol Obstet; 2018 May; 297(5):1323-1332. PubMed ID: 29546564
[TBL] [Abstract][Full Text] [Related]
18. Identification of key target genes and biological pathways in multiple sclerosis brains using microarray data obtained from the Gene Expression Omnibus database.
Zheng W; Chen Y; Chen H; Xiao W; Liang Y; Wang N; Jiang X; Wen S
Neurol Res; 2018 Oct; 40(10):883-891. PubMed ID: 30074468
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]
