An R package to run ELISA data analysis with the ability to do batch correction/normalization
This package is developed to run analysis of ELISA data. First, the calibration data are used to fit either the five- or four-parameter logistic model. Then the fitted model is used to predict the concentrations of unknown samples. If the batches of calibration data exist, the correction/normalization could be done. The corrected calibration curve are then used for predication.
Please refer to the vignettes to see details.
Maintainer: Feng Feng ffeng@BU.edu
Feng, et al 2018 doi: 10.1101/483800
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