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miRLAB (version 1.2.2)

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.

Examples

Run this code
dataset=system.file("extdata", "ToyEMT.csv", package="miRLAB")
impdata=ImputeNormData(dataset, 0.1)

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