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Title | Fallahi-Sichani Lab @ |
Description | Laboratory of Systems Biology and Quantitative 0 Skip to Content Fallahi-Sichani Lab @ UVA HOME RESEARCH PEOPLE PUBLICATIONS POSITIONS EVENTS & NEWS CONTACT Open Menu Close Menu Fallahi-Sichani Lab @ U |
Keywords | N/A |
WebSite | fallahi-sichani-lab.com |
Host IP | 198.185.159.145 |
Location | United States |
Site | Rank |
US$830
Last updated: 2023-05-20 06:55:20
fallahi-sichani-lab.com has Semrush global rank of 0. fallahi-sichani-lab.com has an estimated worth of US$ 830, based on its estimated Ads revenue. fallahi-sichani-lab.com receives approximately 95 unique visitors each day. Its web server is located in United States, with IP address 198.185.159.145. According to SiteAdvisor, fallahi-sichani-lab.com is safe to visit. |
Purchase/Sale Value | US$830 |
Daily Ads Revenue | US$0 |
Monthly Ads Revenue | US$23 |
Yearly Ads Revenue | US$276 |
Daily Unique Visitors | 6 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
fallahi-sichani-lab.com. 14399 | A | fallahi-sichani-lab.com. 14399 | IP: 198.185.159.145 |
fallahi-sichani-lab.com. 14399 | A | fallahi-sichani-lab.com. 14399 | IP: 198.49.23.144 |
fallahi-sichani-lab.com. 14399 | A | fallahi-sichani-lab.com. 14399 | IP: 198.49.23.145 |
fallahi-sichani-lab.com. 14399 | A | fallahi-sichani-lab.com. 14399 | IP: 198.185.159.144 |
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fallahi-sichani-lab.com. 3600 | NS | fallahi-sichani-lab.com. 3600 | NS Record: ns02.squarespacedns.com. |
0 Skip to Content Fallahi-Sichani Lab @ UVA HOME RESEARCH PEOPLE PUBLICATIONS POSITIONS EVENTS & NEWS CONTACT Open Menu Close Menu Fallahi-Sichani Lab @ UVA HOME RESEARCH PEOPLE PUBLICATIONS POSITIONS EVENTS & NEWS CONTACT Open Menu Close Menu HOME RESEARCH PEOPLE PUBLICATIONS POSITIONS EVENTS & NEWS CONTACT Laboratory of Systems Biology and Quantitative Pharmacology Welcome to the Fallahi-Sichani Lab Department of Biomedical Engineering University of Virginia Our research goals are focused on developing new experimental and computational tools to understand the fundamental mechanisms of human cell responses to environmental perturbations and therapeutic treatments. Our approach combines targeted deployment of high-throughput, multiplexed experimental technologies (such as high-content imaging, transcriptomics, and proteomics), generation of hypothesis-driven datasets, and integration of computational tools, to create quantitative models of drug response that are predictive at |
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