Description

An R package to run ELISA data analysis with the ability to do batch correction/normalization

Details

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.

Author(s)

Maintainer: Feng Feng ffeng@BU.edu

References

Feng, et al 2018 doi: 10.1101/483800