GWASbyCluster
Identifying Significant SNPs in Genome Wide Association Studies (GWAS) via Clustering
Identifying disease-associated significant SNPs using clustering approach. This package is implementation of method proposed in Xu et al (2019) doi:10.1038/s41598-019-50229-6.
- Version0.1.7
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- GWASbyCluster citation info
- Last release10/11/2019
Documentation
Team
Li Xing
Weiliang Qiu
Xuekui Zhang
Yan Xu
Jessica Su
Insights
Last 30 days
This package has been downloaded 135 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 1,720 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 21 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports1 package