IPE: Estimating the ImmunoPrecipitation (IP) efficiency of a...
In enRich: Analysis of Multiple ChIP-Seq Data
Description
Usage
Arguments
Value
Author(s)
References
See Also
Description
Calculate the IP efficiency of an experiment by using the mixture model parameters.
Usage
1
Arguments
para
A numeric vector. The parameters estimated by the mixture model.
method
A charater variable. Can be "poisson" or "NB" and it refers to the densities of the mixture distribution.
Value
IPE estimated value.
Author(s)
Yanchun Bao and Veronica Vinciotti
References
Bao et al. Accounting for immunoprecipitation efficiencies in the statistical analysis of ChIP-seq data. BMC Bioinformatics 2013, 14:169 DOI:10.1186/1471-2105-14-169.
See Also
See also mix, mix.joint,enrich.mix
enRich documentation built on March 13, 2020, 2:46 a.m.
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Description Usage Arguments Value Author(s) References See Also
Description
Calculate the IP efficiency of an experiment by using the mixture model parameters.
Usage
1 |
Arguments
para |
A numeric vector. The parameters estimated by the mixture model. |
method |
A charater variable. Can be "poisson" or "NB" and it refers to the densities of the mixture distribution. |
Value
IPE estimated value.
Author(s)
Yanchun Bao and Veronica Vinciotti
References
Bao et al. Accounting for immunoprecipitation efficiencies in the statistical analysis of ChIP-seq data. BMC Bioinformatics 2013, 14:169 DOI:10.1186/1471-2105-14-169.
See Also
See also mix, mix.joint,enrich.mix
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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