Description Usage Arguments Details Value Examples
Extracts biological and technical features for given dataset
1 2 3 | extract_features(counts_nm, read_metrics, prefix = "", output_dir = "",
common_features = NULL, GO_terms = NULL, extra_genes = NULL,
organism = "mouse")
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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 |
prefix |
Prefix of outputfiles |
output_dir |
Output directory of files |
common_features |
Subset of features that are applicable within one species, but across cell types |
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 |
This function takes a combination of gene counts and mapping statistics to extract biological and technical features, which than can be used for quality data analysis
a list with two elements, one providing all features, and one providing common features.
1 2 3 4 | data(sample_counts)
data(sample_stats)
sample_counts_nm <- normalise_by_factor(sample_counts, colSums(sample_counts))
sample_features <- extract_features(sample_counts_nm, sample_stats)
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