155 related articles for article (PubMed ID: 34048875)
1. Identification of key immune regulatory genes in HIV-1 progression.
Hossain SMM; Khatun L; Ray S; Mukhopadhyay A
Gene; 2021 Aug; 792():145735. PubMed ID: 34048875
[TBL] [Abstract][Full Text] [Related]
2. Preservation affinity in consensus modules among stages of HIV-1 progression.
Mosaddek Hossain SM; Ray S; Mukhopadhyay A
BMC Bioinformatics; 2017 Mar; 18(1):181. PubMed ID: 28320358
[TBL] [Abstract][Full Text] [Related]
3. Identification of immune features of HIV-infected patients with antiretroviral therapy through bioinformatics analysis.
Zhang Z; Zhang L; Shen Y
Virology; 2022 Jan; 566():69-74. PubMed ID: 34875552
[TBL] [Abstract][Full Text] [Related]
4. Cattle infection response network and its functional modules.
Beiki H; Pakdel A; Javaremi AN; Masoudi-Nejad A; Reecy JM
BMC Immunol; 2018 Jan; 19(1):2. PubMed ID: 29301495
[TBL] [Abstract][Full Text] [Related]
5. Prediction of interactions between HIV-1 and human proteins by information integration.
Tastan O; Qi Y; Carbonell JG; Klein-Seetharaman J
Pac Symp Biocomput; 2009; ():516-27. PubMed ID: 19209727
[TBL] [Abstract][Full Text] [Related]
6. Differentially co-expressed interacting protein pairs discriminate samples under distinct stages of HIV type 1 infection.
Yoon D; Kim H; Suh-Kim H; Park RW; Lee K
BMC Syst Biol; 2011; 5 Suppl 2(Suppl 2):S1. PubMed ID: 22784566
[TBL] [Abstract][Full Text] [Related]
7. Co-expression network analysis identified hub genes critical to triglyceride and free fatty acid metabolism as key regulators of age-related vascular dysfunction in mice.
Li H; Wang X; Lu X; Zhu H; Li S; Duan S; Zhao X; Zhang F; Alterovitz G; Wang F; Li Q; Tian XL; Xu M
Aging (Albany NY); 2019 Sep; 11(18):7620-7638. PubMed ID: 31514170
[No Abstract] [Full Text] [Related]
8. Modulation of apoptosis and viral latency - an axis to be well understood for successful cure of human immunodeficiency virus.
Timilsina U; Gaur R
J Gen Virol; 2016 Apr; 97(4):813-824. PubMed ID: 26764023
[TBL] [Abstract][Full Text] [Related]
9. A comprehensive analysis on preservation patterns of gene co-expression networks during Alzheimer's disease progression.
Ray S; Hossain SMM; Khatun L; Mukhopadhyay A
BMC Bioinformatics; 2017 Dec; 18(1):579. PubMed ID: 29262769
[TBL] [Abstract][Full Text] [Related]
10. Inequalities and duality in gene coexpression networks of HIV-1 infection revealed by the combination of the double-connectivity approach and the Gini's method.
Ma C; Zhou Y; Huang SH
J Biomed Biotechnol; 2011; 2011():926407. PubMed ID: 21976970
[TBL] [Abstract][Full Text] [Related]
11. Discovering Condition Specific Topological Pattern Changes in Coexpression Network: An Application to HIV-1 Progression.
Ray S; Bandyopadhyay S
IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(6):1086-1099. PubMed ID: 26661789
[TBL] [Abstract][Full Text] [Related]
12. Identification of critical genes associated with the development of asthma by co-expression modules construction.
He LL; Xu F; Zhan XQ; Chen ZH; Shen HH
Mol Immunol; 2020 Jul; 123():18-25. PubMed ID: 32388106
[TBL] [Abstract][Full Text] [Related]
13. Analysis of Host Gene Expression Profile in HIV-1 and HIV-2 Infected T-Cells.
Devadas K; Biswas S; Haleyurgirisetty M; Wood O; Ragupathy V; Lee S; Hewlett I
PLoS One; 2016; 11(1):e0147421. PubMed ID: 26821323
[TBL] [Abstract][Full Text] [Related]
14. Bioinformatics analysis of common key genes and pathways of intracranial, abdominal, and thoracic aneurysms.
Bi S; Liu R; He L; Li J; Gu J
BMC Cardiovasc Disord; 2021 Jan; 21(1):14. PubMed ID: 33407182
[TBL] [Abstract][Full Text] [Related]
15. Investigating HIV-Human Interaction Networks to Unravel Pathogenic Mechanism for Drug Discovery: A Systems Biology Approach.
Li CW; Chen BS
Curr HIV Res; 2018; 16(1):77-95. PubMed ID: 29468972
[TBL] [Abstract][Full Text] [Related]
16. Weighted gene co-expression network analysis of the salt-responsive transcriptomes reveals novel hub genes in green halophytic microalgae Dunaliella salina.
Panahi B; Hejazi MA
Sci Rep; 2021 Jan; 11(1):1607. PubMed ID: 33452393
[TBL] [Abstract][Full Text] [Related]
17. Co-expression of key gene modules and pathways of human breast cancer cell lines.
Wu Y; Liu F; Luo S; Yin X; He D; Liu J; Yue Z; Song J
Biosci Rep; 2019 Jul; 39(7):. PubMed ID: 31285391
[TBL] [Abstract][Full Text] [Related]
18. Identification of hub genes and construction of transcriptional regulatory network for the progression of colon adenocarcinoma hub genes and TF regulatory network of colon adenocarcinoma.
Wei S; Chen J; Huang Y; Sun Q; Wang H; Liang X; Hu Z; Li X
J Cell Physiol; 2020 Mar; 235(3):2037-2048. PubMed ID: 31612481
[TBL] [Abstract][Full Text] [Related]
19. An integrative genomic analysis of transcriptional profiles identifies characteristic genes and patterns in HIV-infected long-term non-progressors and elite controllers.
Ding J; Ma L; Zhao J; Xie Y; Zhou J; Li X; Cen S
J Transl Med; 2019 Jan; 17(1):35. PubMed ID: 30665429
[TBL] [Abstract][Full Text] [Related]
20. Identification of Hub Genes in High-Grade Serous Ovarian Cancer Using Weighted Gene Co-Expression Network Analysis.
Wu M; Sun Y; Wu J; Liu G
Med Sci Monit; 2020 Mar; 26():e922107. PubMed ID: 32180586
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]