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SAVER 1.1.2

SAVER (Single-cell Analysis Via Expression Recovery) implements a regularized regression prediction and empirical Bayes method to recover the true gene expression profile in noisy and sparse single-cell RNA-seq data.

Installation

You can install SAVER from CRAN by running:

install.packages("SAVER")
library(SAVER)

You can also install the most recent updates of SAVER from github with:

# install.packages("devtools")
devtools::install_github("mohuangx/SAVER")

Reference

For more information about the method, check out the website, tutorial, and paper.

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Version

Install

install.packages('SAVER')

Monthly Downloads

320

Version

1.1.2

License

GPL-2

Issues

Pull Requests

Stars

Forks

Maintainer

Mo Huang

Last Published

November 13th, 2019

Functions in SAVER (1.1.2)

expr.predict

Calculates SAVER prediction.
sample.saver

Samples from SAVER
saver.fit

Fits SAVER
calc.a

Optimizes variance
linnarsson_saver

SAVER recovered mouse brain single-cell RNA-seq dataset
saver

Runs SAVER
combine.saver

Combines SAVER
linnarsson

Mouse brain single-cell RNA-seq dataset
calc.maxcor

Calculate maximum correlation
calc.loglik.a

Calculates marginal likelihood
get.mu

Output prior predictions
calc.post

Calculates SAVER posterior
SAVER-package

SAVER: Single-cell Analysis Via Expression Recovery
calc.estimate

Calculate estimate
cor.genes

Calculates gene-to-gene and cell-to-cell SAVER correlation