contentgenesPCA: Vizection's Principal Component Analysis
In shamansim/Vizection: Visualisation and dissection of single-cell transcriptomics big datasets
Description
Usage
Arguments
Examples
Description
First, the expression table, assumed to contain counts,
is normalised to tags per million (TPM) and transposed.
Then, the first line, containing the combined expression
of all the CTSS that were not contained in an annotated
feature (such as a gene), is removed. Then the PCA is
run with the ade4 package's function dudi.pca().
Usage
1
Arguments
df
An expression table (see above)
Examples
1
shamansim/Vizection documentation built on May 29, 2019, 8:06 p.m.
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Description Usage Arguments Examples
Description
First, the expression table, assumed to contain counts, is normalised to tags per million (TPM) and transposed. Then, the first line, containing the combined expression of all the CTSS that were not contained in an annotated feature (such as a gene), is removed. Then the PCA is run with the ade4 package's function dudi.pca().
Usage
1 |
Arguments
df |
An expression table (see above) |
Examples
1 |
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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