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README.md
In simone: Statistical Inference for MOdular NEtworks (SIMoNe)
SIMoNe: Statistical Inference for Modular Networks
The goals of SIMoNe is to implement methods for the inference of
co-expression networks based on partial correlation coefficients from
either steady-state or time-course transcriptomic data. Note that with
both type of data this package can deal with samples collected in
different experimental conditions and therefore not identically
distributed. In this particular case, multiple but related networks
are inferred on one simone run.
devtools::install_github("jchiquet/simone")
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simone documentation built on May 2, 2019, 2:37 a.m.
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SIMoNe: Statistical Inference for Modular Networks
The goals of SIMoNe is to implement methods for the inference of co-expression networks based on partial correlation coefficients from either steady-state or time-course transcriptomic data. Note that with both type of data this package can deal with samples collected in different experimental conditions and therefore not identically distributed. In this particular case, multiple but related networks are inferred on one simone run.
devtools::install_github("jchiquet/simone")
Try the simone package in your browser
Any scripts or data that you put into this service are public.
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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