noise: Estimation of Intrinsic and Extrinsic Noise from Single-Cell Data

Functions to calculate estimates of intrinsic and extrinsic noise from the two-reporter single-cell experiment, as in Elowitz, M. B., A. J. Levine, E. D. Siggia, and P. S. Swain (2002) Stochastic gene expression in a single cell. Science, 297, 1183-1186. Functions implement multiple estimators developed for unbiasedness or min Mean Squared Error (MSE) in Fu, A. Q. and Pachter, L. (2016). Estimating intrinsic and extrinsic noise from single-cell gene expression measurements. Statistical Applications in Genetics and Molecular Biology, 15(6), 447-471.

Version:	1.0.1
Depends:	R (≥ 2.10)
Imports:	preprocessCore
Published:	2021-01-07
Author:	Audrey Qiuyan Fu and Lior Pachter
Maintainer:	Audrey Q. Fu <audreyqyfu at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	noise results

Documentation:

Reference manual:

noise.pdf

Downloads:

Package source:	noise_1.0.1.tar.gz
Windows binaries:	r-devel: noise_1.0.1.zip, r-release: noise_1.0.1.zip, r-oldrel: noise_1.0.1.zip
macOS binaries:	r-release (arm64): noise_1.0.1.tgz, r-oldrel (arm64): noise_1.0.1.tgz, r-release (x86_64): noise_1.0.1.tgz, r-oldrel (x86_64): noise_1.0.1.tgz
Old sources:	noise archive

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