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nicwir
QurvE:Robust and User-Friendly Analysis of Growth and Fluorescence Curves
High-throughput analysis of growth curves and fluorescence data using three methods: linear regression, growth model fitting, and smooth spline fit. Analysis of dose-response relationships via smoothing splines or dose-response models. Complete data analysis workflows can be executed in a single step via user-friendly wrapper functions. The results of these workflows are summarized in detailed reports as well as intuitively navigable 'R' data containers. A 'shiny' application provides access to all features without requiring any programming knowledge. The package is described in further detail in Wirth et al. (2023) <doi:10.1038/s41596-023-00850-7>.
Maintained by Nicolas T. Wirth. Last updated 1 years ago.
25 stars 6.00 score 7 scriptspsychelzh
tarflow.iquizoo:Setup "targets" Workflows for "iquizoo" Data Processing
For "iquizoo" data processing, there is already a package called "preproc.iquizoo", but eventually the use of it is relied on a workflow. This package is used to build such workflows based on tools provided by "targets" package which mimics the logic of "make", automating the building processes.
Maintained by Liang Zhang. Last updated 5 months ago.
10 stars 3.60 score 1 scripts