feature_generation: Helper Function to create all features
In ti243/cellity: Quality Control for Single-Cell RNA-seq Data
Description
Usage
Arguments
Value
Description
Helper Function to create all features
Usage
1
feature_generation(counts_nm, read_metrics, GO_terms, extra_genes, organism)
Arguments
counts_nm
Gene expression counts dataframe (genes x cells). Either
normalised by library size or TPM values
read_metrics
Dataframe with mapping statistics produced by python
pipeline
GO_terms
DataFrame with gene ontology term IDs, that will be used in
feature extraction
extra_genes
Additional genes used for feature extraction
organism
The target organism to generate the features for
Value
Returns the entire set of features in a data.frame
ti243/cellity documentation built on May 31, 2019, 11:18 a.m.
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Description Usage Arguments Value
Description
Helper Function to create all features
Usage
1 | feature_generation(counts_nm, read_metrics, GO_terms, extra_genes, organism)
|
Arguments
counts_nm |
Gene expression counts dataframe (genes x cells). Either normalised by library size or TPM values |
read_metrics |
Dataframe with mapping statistics produced by python pipeline |
GO_terms |
DataFrame with gene ontology term IDs, that will be used in feature extraction |
extra_genes |
Additional genes used for feature extraction |
organism |
The target organism to generate the features for |
Value
Returns the entire set of features in a data.frame
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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