645 related articles for article (PubMed ID: 33622336)
1. Identification of key pathways and genes in polycystic ovary syndrome via integrated bioinformatics analysis and prediction of small therapeutic molecules.
Devarbhavi P; Telang L; Vastrad B; Tengli A; Vastrad C; Kotturshetti I
Reprod Biol Endocrinol; 2021 Feb; 19(1):31. PubMed ID: 33622336
[TBL] [Abstract][Full Text] [Related]
2. Identification of candidate biomarkers and therapeutic agents for heart failure by bioinformatics analysis.
Kolur V; Vastrad B; Vastrad C; Kotturshetti S; Tengli A
BMC Cardiovasc Disord; 2021 Jul; 21(1):329. PubMed ID: 34218797
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Pathway and network-based analysis of genome-wide association studies and RT-PCR validation in polycystic ovary syndrome.
Shen H; Liang Z; Zheng S; Li X
Int J Mol Med; 2017 Nov; 40(5):1385-1396. PubMed ID: 28949383
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Identification of Hub Genes and Biomarkers between Hyperandrogen and Normoandrogen Polycystic Ovary Syndrome by Bioinformatics Analysis.
Zhang T; Liu Y; Li X; Hu B
Comb Chem High Throughput Screen; 2023; 26(1):126-134. PubMed ID: 35379124
[TBL] [Abstract][Full Text] [Related]
7. Identification of the key pathways and genes related to polycystic ovary syndrome using bioinformatics analysis.
Bi X; Zhai Z; Wang S
Gen Physiol Biophys; 2019 May; 38(3):205-214. PubMed ID: 31184307
[TBL] [Abstract][Full Text] [Related]
8. Identification of hub genes related to the progression of type 1 diabetes by computational analysis.
Prashanth G; Vastrad B; Tengli A; Vastrad C; Kotturshetti I
BMC Endocr Disord; 2021 Apr; 21(1):61. PubMed ID: 33827531
[TBL] [Abstract][Full Text] [Related]
9. Microarray analysis of obese women with polycystic ovary syndrome for key gene screening, key pathway identification and drug prediction.
Wei L; Xin C; Wang W; Hao C
Gene; 2018 Jun; 661():85-94. PubMed ID: 29601948
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Integrated analysis of DNA methylation and transcriptome profiling of polycystic ovary syndrome.
Liu L; He D; Wang Y; Sheng M
Mol Med Rep; 2020 May; 21(5):2138-2150. PubMed ID: 32323770
[TBL] [Abstract][Full Text] [Related]
12. Identification of differentially expressed genes regulated by molecular signature in breast cancer-associated fibroblasts by bioinformatics analysis.
Vastrad B; Vastrad C; Tengli A; Iliger S
Arch Gynecol Obstet; 2018 Jan; 297(1):161-183. PubMed ID: 29063236
[TBL] [Abstract][Full Text] [Related]
13. Identification of biomarkers, pathways, and potential therapeutic targets for heart failure using next-generation sequencing data and bioinformatics analysis.
Ganekal P; Vastrad B; Vastrad C; Kotrashetti S
Ther Adv Cardiovasc Dis; 2023; 17():17539447231168471. PubMed ID: 37092838
[TBL] [Abstract][Full Text] [Related]
14. Identification of Crucial lncRNAs, miRNAs, mRNAs, and Potential Therapeutic Compounds for Polycystic Ovary Syndrome by Bioinformatics Analysis.
Zeng Z; Lin X; Xia T; Liu W; Tian X; Li M
Biomed Res Int; 2020; 2020():1817094. PubMed ID: 33224973
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Identification of Key Pathways and Genes in Obesity Using Bioinformatics Analysis and Molecular Docking Studies.
Joshi H; Vastrad B; Joshi N; Vastrad C; Tengli A; Kotturshetti I
Front Endocrinol (Lausanne); 2021; 12():628907. PubMed ID: 34248836
[TBL] [Abstract][Full Text] [Related]
17. Identification of Key Pathways and Genes in Anaplastic Thyroid Carcinoma via Integrated Bioinformatics Analysis.
Hu S; Liao Y; Chen L
Med Sci Monit; 2018 Sep; 24():6438-6448. PubMed ID: 30213925
[TBL] [Abstract][Full Text] [Related]
18. Bioinformatic Identification of the Pyroptosis-Related Transcription Factor-MicroRNA-Target Gene Regulatory Network in Angiotensin II-Induced Cardiac Remodeling and Validation of Key Components.
Huang T; Ding J; Lin L; Han L; Yu L; Li M
Front Biosci (Landmark Ed); 2023 Nov; 28(11):293. PubMed ID: 38062833
[TBL] [Abstract][Full Text] [Related]
19. Polycystic ovary syndrome: Identification of novel and hub biomarkers in the autophagy-associated mRNA-miRNA-lncRNA network.
Huang J; Huang B; Kong Y; Yang Y; Tian C; Chen L; Liao Y; Ma L
Front Endocrinol (Lausanne); 2022; 13():1032064. PubMed ID: 36523600
[TBL] [Abstract][Full Text] [Related]
20. Identification of key genes and miRNAs related to polycystic ovary syndrome by comprehensive analysis of microarray.
Sun Z; Wang Y; Wei T; Liu L
BMC Med Genomics; 2022 Dec; 15(1):267. PubMed ID: 36544152
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
