select_dispersed_genes: Select highly-dispersed genes.
In juliendelile/Antler: ANother Transcriptome Lineage ExploreR
Description
The genes are allocated to a bin based on their average log-level of expression, then with each bin the dispersion (variance over mean of the log-levels) is z-scored. Genes not having a sufficiently high dispersion z-scores are excluded from the dataset.
This method replicates FindVariableFeatures from the Seurat package.
Arguments
zscore_threshold
a numeric value indicating the zcored dispersion threshold above which the gene names are returned. Default to 0.
num_bins
a integer value indicating the number of bins used to calculate z-score into. Default to 20.
data_status
character string. Specifies whether the gene expression levels used for calculation are raw ("Raw"), normalized ("Normalized") or have been imputed ("Smoothed"). Default to "Raw".
juliendelile/Antler documentation built on June 19, 2021, 9 a.m.
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Description
The genes are allocated to a bin based on their average log-level of expression, then with each bin the dispersion (variance over mean of the log-levels) is z-scored. Genes not having a sufficiently high dispersion z-scores are excluded from the dataset.
This method replicates FindVariableFeatures from the Seurat package.
Arguments
zscore_threshold |
a numeric value indicating the zcored dispersion threshold above which the gene names are returned. Default to 0. |
num_bins |
a integer value indicating the number of bins used to calculate z-score into. Default to 20. |
data_status |
character string. Specifies whether the gene expression levels used for calculation are raw ("Raw"), normalized ("Normalized") or have been imputed ("Smoothed"). Default to "Raw". |
R Package Documentation
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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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