CEDA
CRISPR Screen and Gene Expression Differential Analysis
Provides analytical methods for analyzing CRISPR screen data at different levels of gene expression. Multi-component normal mixture models and EM algorithms are used for modeling.
- Version1.1.1
- R version≥ 3.5.0
- LicenseApache License (== 2.0)
- Needs compilation?No
- Last release02/27/2024
Documentation
Team
Lianbo Yu
MaintainerShow author detailsKevin R. Coombes
Show author detailsRolesAuthorYue Zhao
Show author detailsRolesAuthorLang Li
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 257 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 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 3,210 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 24, 2024 with 31 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
- Imports6 packages
- Suggests2 packages