extract_features: Extracts biological and technical features for given dataset

Description Usage Arguments Details Value Examples

Description

Extracts biological and technical features for given dataset

Usage

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extract_features(counts_nm, read_metrics, prefix = "", output_dir = "",
  common_features = NULL, GO_terms = NULL, extra_genes = NULL,
  organism = "mouse")

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

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

Details

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

Value

a list with two elements, one providing all features, and one providing common features.

Examples

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ti243/cellity documentation built on May 31, 2019, 11:18 a.m.