getFilteredData

data

min.cells

<p>species to use for gene filtering: "human" (default), "mouse" and "rat"</p>

species

<p>Filter the dataset by removing lowly expressed genes and mitochondrial, spike-in and ribosomal genes</p>

Determining the optimal set of feature genes to characterise cell types in single-cell RNA sequencing data using stepwise regression on gene-gene correlations. <doi:10.1101/2020.10.07.330563>.

Bobby Ranjan

DUBStepR

Correlation-Based Feature Selection for Single-Cell RNA
Sequencing Data

Kunal Mishra

Shyam Lab

Bryan Hanson

Damian Coventry

Brandon Crosby

Gregoire Thomas

getFilteredData function

Filter the dataset by removing lowly expressed genes and mitochondrial, spike-in and ribosomal genes — getFilteredData

Filter the dataset by removing lowly expressed genes and mitochondrial, spike-in and ribosomal genes

getFilteredData: Filter the dataset by removing lowly expressed genes and mitochondrial, spike-in and ribosomal genes

Description

Usage

Arguments

Value