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ccRemover (version 1.0.4)

Removes the Cell-Cycle Effect from Single-Cell RNA-Sequencing Data

Description

Implements a method for identifying and removing the cell-cycle effect from scRNA-Seq data. The description of the method is in Barron M. and Li J. (2016) . Identifying and removing the cell-cycle effect from single-cell RNA-Sequencing data. Submitted. Different from previous methods, ccRemover implements a mechanism that formally tests whether a component is cell-cycle related or not, and thus while it often thoroughly removes the cell-cycle effect, it preserves other features/signals of interest in the data.

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Version

Install

install.packages('ccRemover')

Monthly Downloads

278

Version

1.0.4

License

GPL-3

Maintainer

Jun Li

Last Published

August 19th, 2017

Functions in ccRemover (1.0.4)

bootstrap_diff

Calculates the difference in the loading score for cell-cycle and control genes
ccRemover

Removes the effect of the cell-cycle
get_diff

Calculates the average load difference between the cell-cycle genes and control genes for each component.
hello

Hello, World!
dat

A simulated scRNA-Seq data.
gene_indexer

Identifies genes annotated to the cell-cycle
t.cell_data

Single-Cell RNA-Seq data from differentiating T-helper cells
HScc_genes

Homo Sapien genes which are annotated to the cell-cycle
MMcc_genes

Mus Musculus genes which are annotated to the cell-cycle