ELISAtools-package: ELISA data analysis with batch correction
In ELISAtools: ELISA Data Analysis with Batch Correction
Description
Details
Author(s)
References
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
ELISAtools documentation built on Jan. 21, 2021, 5:08 p.m.
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Description Details Author(s) References
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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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