# Covariate matrix

`covariate_matrix.Rd`

A matrix of cell-specific technical factors:

`lg_gRNA_lib_size`

  (numeric) log-transformed gRNA library size

`lg_gene_lib_size`

  (numeric) log-transformed gene library size

`p_mito`

  (numeric) fraction of sequenced gene transcripts that map to mitochondrial genes

`batch`

  (factor) sequencing batch (`batch_1`, `batch_2`)

    data(covariate_matrix)

## Format

An object of class `data.frame` with 40000 rows and 4 columns.

## Overview

This object is part of the example data. The data are taken from the paper "A genome-wide framework for mapping gene regulation via cellular genetic screens" by Gasperini et al., 2019. The authors used a CRISPRi-based assay to target 5,000+ putative enhancers in a population of K562 cells. The authors additionally targeted 200+ gene transcription start sites (TSSs) and designed a library of 50 non-targeting gRNAs to serve as negative controls. Genes, gRNAs, and cells are all down-sampled to reduce the size of the data.