ImputeNormData: Filter, impute, and normalise data.
Description
Remove the genes (rows) that have more than r% of missing data;
use the impute package to fill in missing data, and finally normalise the data.
Usage
ImputeNormData(dataset, r)
Arguments
dataset
The input dataset in csv format. e.g. "EMT.csv"
#'
r
The rate threshold to filter the records (genes). Genes with more than r% missing data will be removed.
Value
The processed dataset.
References
1. Hastie T, Tibshirani R, Narasimhan B and Chu G. impute: Imputation for microarray data. R package version 1.42.0.
2. Smyth, G.K. (2005). Limma: linear models for microarray data. In Bioinformatics and computational biology solutions using R and Bioconductor (pp. 397-420). Springer New York.