TDM_RNAseq: RNAseq data normalization with TDM
In greenelab/ADAGEpath: ADAGE-based Signature Analysis
TDM_RNAseq R Documentation
RNAseq data normalization with TDM
Description
Performs Training Distribution Matching (TDM) on the input RNAseq data
to normalize RNAseq expression values to a comparable range of the reference
microarray data.
Usage
TDM_RNAseq(input_data, ref_data)
Arguments
input_data
a data.frame with gene IDs in the first column and
expression values from the second column.
ref_data
a data.frame storing gene expression values of a
compendium built from microarray data. It is used as the reference data in
TDM.
Value
a data.frame storing TDM normalized gene expression values from the
input_data.
See Also
greenelab/ADAGEpath documentation built on May 25, 2022, 7:11 a.m.
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| TDM_RNAseq | R Documentation |
RNAseq data normalization with TDM
Description
Performs Training Distribution Matching (TDM) on the input RNAseq data to normalize RNAseq expression values to a comparable range of the reference microarray data.
Usage
TDM_RNAseq(input_data, ref_data)
Arguments
input_data |
a data.frame with gene IDs in the first column and expression values from the second column. |
ref_data |
a data.frame storing gene expression values of a compendium built from microarray data. It is used as the reference data in TDM. |
Value
a data.frame storing TDM normalized gene expression values from the input_data.
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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