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".
- Version0.3.0
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- sicegar citation info
- Last release11/15/2025
Documentation
- VignetteCalculation of additional parameters of interest
- VignetteAdjusting data to use with sicegar
- VignetteIdentifying the best-fitting model category
- VignetteFitting individual models
- VignetteAllowing the lower asymptote parameter to vary freely
- VignetteIntroduction
- VignettePlotting the fitted models
- MaterialREADME
- MaterialNEWS
Team
Johanna Hardin
MaintainerShow author detailsM. Umut Caglar
Show author detailsRolesAuthorSamuel Butler
Show author detailsRolesAuthorThomas Matheis
Show author detailsRolesAuthorPhineus Choi
Show author detailsRolesAuthorMira Terdiman
Show author detailsRolesAuthor
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