In lusystemsbio/sRACIPE: Systems biology tool to simulate gene regulatory circuits
knitr::opts_chunk$set(echo = TRUE)
sracipeHeatmapSimilarity()
A crucial aspect for network modeling is to evaluate whether the simulations
capture the essential features of the experimental data or not. This comparison
will help in finetuning the network or parameters.
In sRACIPE, the function sracipeHeatmapSimilarity can compare two
expression datasets and return a similarity score. One can provide the
experimental data and simulated data as two datasets. If the clusters for the
experimental data are not provided, then the data is clustered using
hierarchical clustering. Then each model in the simulated data is compared with
each cluster using correlation of expression values.
lusystemsbio/sRACIPE documentation built on Nov. 19, 2024, 9:07 a.m.
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knitr::opts_chunk$set(echo = TRUE) sracipeHeatmapSimilarity()
A crucial aspect for network modeling is to evaluate whether the simulations capture the essential features of the experimental data or not. This comparison will help in finetuning the network or parameters.
In sRACIPE, the function sracipeHeatmapSimilarity can compare two
expression datasets and return a similarity score. One can provide the
experimental data and simulated data as two datasets. If the clusters for the
experimental data are not provided, then the data is clustered using
hierarchical clustering. Then each model in the simulated data is compared with
each cluster using correlation of expression values.
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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