predictAll: Predict the concentration of samples based on fitting
In ELISAtools: ELISA Data Analysis with Batch Correction

Description Usage Arguments Details Value References See Also

Based on the 5pl or 4pl regression, predict the concentration of of unknown samples. Assume the regression has been accomplished.

1	predictAll(batches)

batches

list of elisa_batch objects containing both the raw data and the fitted regression model.

The input data structure contains both the data (ODs) and the fitted regression model. The estimation of unknonw concentration based on the ODs and the standard curve of each plate. The batch effects are corrected/normalized and the corrected concentrations also are also written into the batch data structure, if there are more than one batches in the data.

The same list of elisa_batch with estimated sample concentrations based on ODs and the fitted regression model. The estimated concentrations normalized/corrected between different batches are also calculated and recorded.

Feng 2018 doi: 10.1101/483800

elisa_batch elisa_run elisa_plate

ELISAtools documentation built on Jan. 21, 2021, 5:08 p.m.