Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/Normalization_TestSet.R

This function aims to perform a batch correction on a normalized independent test set, exploiting the ComBat function of the sva package.

1 | ```
DaMiR.iTSadjust(adj_Learning_set, norm_Ind_Test_set, iTS_batch)
``` |

`adj_Learning_set` |
A SummarizedExperiment object or a data frame/matrix of adjusted and normalized data, obtained by the DaMiR.SVadjust function. |

`norm_Ind_Test_set` |
A data frame or a matrix of normalized data. The independent test set is supposed to be already normlaized by the DaMiR.iTSnorm function |

`iTS_batch` |
(Optional). A factor or a data.frame, containing information regarding experimental batches of the independent test set. Users can ignore this argument, if the independent test set is deemed a single experimental batch. |

The function applied a batch correction procedure to the independent test set, normalized by DaMiR.iTSnorm.

A matrix containing a normalized and adjusted expression matrix (log2 scale).

Mattia Chiesa, Luca Piacentini

Jeffrey T. Leek, W. Evan Johnson, Hilary S. Parker, Elana J. Fertig, Andrew E. Jaffe and John D. Storey (2016). sva: Surrogate Variable Analysis. R package version 3.22.0.

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