sicegar
Analysis of Single-Cell Viral Growth Curves
Aims to quantify time intensity data by using sigmoidal and double sigmoidal curves. It fits straight lines, sigmoidal, and double sigmoidal curves on to time vs intensity data. Then all the fits are used to make decision on which model best describes the data. This method was first developed in the context of single-cell viral growth analysis (for details, see Caglar et al. (2018) doi:10.7717/peerj.4251), and the package name stands for "SIngle CEll Growth Analysis in R".
- Version0.2.4
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- sicegar citation info
- Last release05/08/2021
Documentation
Team
Claus O. Wilke
M. Umut Caglar
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Insights
Last 30 days
This package has been downloaded 184 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 4 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 2,510 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 35 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.
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Dependencies
- Imports4 packages
- Suggests5 packages