senresearch.org valuation and analysis

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Title Śaunak
Description Śaunak Sen about research pubs training code notes GeneNetworkAPI.jl Julia package for interfacing with the GeneNetwork web service speeding up eqtl scans
Keywords N/A
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WebSite senresearch faviconsenresearch.org
Host IP 143.95.236.33
Location United States
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senresearch.org Valuation
US$995,454
Last updated: 2023-05-13 00:06:50

senresearch.org has Semrush global rank of 10,632,640. senresearch.org has an estimated worth of US$ 995,454, based on its estimated Ads revenue. senresearch.org receives approximately 114,861 unique visitors each day. Its web server is located in United States, with IP address 143.95.236.33. According to SiteAdvisor, senresearch.org is safe to visit.

Traffic & Worth Estimates
Purchase/Sale Value US$995,454
Daily Ads Revenue US$919
Monthly Ads Revenue US$27,567
Yearly Ads Revenue US$330,797
Daily Unique Visitors 7,658
Note: All traffic and earnings values are estimates.
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Host Type TTL Data
senresearch.org. A 599 IP: 143.95.236.33
senresearch.org. NS 86400 NS Record: ns2.arvixeshared.com.
senresearch.org. NS 86400 NS Record: ns1.arvixeshared.com.
senresearch.org. MX 600 MX Record: 0 senresearch.org.
HtmlToTextCheckTime:2023-05-13 00:06:50
Śaunak Sen about research pubs training code notes GeneNetworkAPI.jl Julia package for interfacing with the GeneNetwork web service speeding up eqtl scans in the bxd population using GPUs To facilitate interactive use of genotype-phenotype relationships in the BXD population, we sought to speed up eQTL scans. We were able to decrease runtimes to approaching real-time computation. flexible multivariate linear mixed models for structured multiple traits Flexible modeling of structured traits using multivariate linear mixed models sparse matrix linear models for structured high-throughput data We have developed a fast algorithm for fitting L1-penalized multivariate linear models for high throughput data FlxQTL.jl Julia package for multivariate linear mixed model genome scans matrix linear models for high-throughput genetic screens A flexible and computationally efficient approach for analyzing high throughput chemical genetic screens FaSTLMM.jl Julia package for Factored Spectrally
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