Probabilistic inference of ChIP-Seq using an empirical Bayes mixture model approach. An R package developed for the ananlysis of the Next Generation Sequencing (NGS) data.
This is R implementation of statitical method proposed in my paper
Zhang, Xuekui, Gordon Robertson, Martin Krzywinski, Kaida Ning, Arnaud Droit, Steven Jones, and Raphael Gottardo. “PICS: probabilistic inference for ChIP‐seq.” Biometrics 67, no. 1 (2011): 151-163.
Please cite this paper, if you used this R package in your research. Thanks!
To install this R package, please use the following R code:
PICS
Probabilistic inference of ChIP-Seq using an empirical Bayes mixture model approach. An R package developed for the ananlysis of the Next Generation Sequencing (NGS) data.
This is R implementation of statitical method proposed in my paper
Zhang, Xuekui, Gordon Robertson, Martin Krzywinski, Kaida Ning, Arnaud Droit, Steven Jones, and Raphael Gottardo. “PICS: probabilistic inference for ChIP‐seq.” Biometrics 67, no. 1 (2011): 151-163.
Please cite this paper, if you used this R package in your research. Thanks!
To install this R package, please use the following R code:
This is a clone of my Bioconductor package PICS version 2.28.0 https://www.bioconductor.org/packages/release/bioc/html/PING.html
So, this package can be installed from Bioconductor using the following R code: