bapred (version 1.1)

ratioaaddon: Addon batch effect adjustment for Ratio-A

Description

Performs addon batch effect adjustment for Ratio-A: 1) takes the output of ratioa applied to a training data set together with new batch data; 2) checks whether the training data was also adjusted using Ratio-A and whether the same number of variables is present in training and new data; 3) performs Ratio-A on the new batch data.

Usage

ratioaaddon(params, x, batch)

Arguments

params

object of class ratioa.

x

matrix. The covariate matrix of the new data. Observations in rows, variables in columns.

batch

factor. Batch variable of the new data. Currently has to have levels: '1', '2', '3' and so on.

Value

The adjusted covariate matrix of the test data.

References

Luo, J., Schumacher, M., Scherer, A., Sanoudou, D., Megherbi, D., Davison, T., Shi, T., Tong, W., Shi, L., Hong, H., Zhao, C., Elloumi, F., Shi, W., Thomas, R., Lin, S., Tillinghast, G., Liu, G., Zhou, Y., Herman, D., Li, Y., Deng, Y., Fang, H., Bushel, P., Woods, M., Zhang, J. (2010). A comparison of batch effect removal methods for enhancement of prediction performance using maqc-ii microarray gene expression data. The Pharmacogenomics Journal 10:278-291, <10.1038/tpj.2010.57>.

Hornung, R., Boulesteix, A.-L., Causeur, D. (2016). Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment. BMC Bioinformatics 17:27, <10.1186/s12859-015-0870-z>.

Examples

# NOT RUN {
data(autism)

trainind <- which(batch %in% c(1,2))

Xtrain <- X[trainind,]
ytrain <- y[trainind]
batchtrain <- factor(as.numeric(batch[trainind]), levels=c(1,2))


testind <- which(batch %in% c(3,4))

Xtest <- X[testind,]
ytest <- y[testind]

batchtest <- as.numeric(batch[testind])
batchtest[batchtest==3] <- 1
batchtest[batchtest==4] <- 2
batchtest <- factor(batchtest, levels=c(1,2))


params <- ratioa(x=Xtrain, batch=batchtrain)

Xtestaddon <- ratioaaddon(params=params, x=Xtest, batch=batchtest)
# }