Description Usage Arguments Value Author(s) References See Also

View source: R/computeExtrinsicNoise.R

This function computes several estimates of the extrinsic noise (unscaled by the mean). The estimators, described in Fu and Pachter (2016), include the original estimators developed in Elowitz et al. (2002), the unbiased estimator, an min-MSE estimator, and an asymptotic estimator for large sample sizes.

1 | ```
computeExtrinsicNoise(reporter1, reporter2)
``` |

`reporter1` |
A vector of continuous values. |

`reporter2` |
A vector of continuous values. |

Four (unscaled) estimates of extrinsic noise: the original estimators developed in Elowitz et al. (2002), the unbiased estimator, an min-MSE estimator, and an asymptotic estimator for large sample sizes.

Audrey Q. Fu

Fu, A. Q. and Pachter, L. (2016). Estimating intrinsic and extrinsic noise from single-cell gene expression measurements. arXiv:1601.03334. 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.

`computeIntrinsicNoise`

, `simulateSC`

. See estimates for data `elowitz_data`

and `yang_nl10`

.

noise documentation built on May 29, 2017, 12:04 p.m.

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