Adriano Werhli's Research
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Email: Adriano Werhli
Comparative Evaluation of Reverse Engineering Gene Regulatory Networks
Paper
[Abstract - Pre Print][Paper - Pre Print]
[Supplementary Material]
Data Sets
Each of the following matlab files contains 5 data sets with 100 observations each.
Each of the following zip files contains 5 txt data sets with 100 observations each.
These are the data sets we used in our simulations, they are pre-processed as described in the paper and in the supplementary material.
This file contains the corresponding gene names for the columns in the data sets.
Gaussian observational data. Original structure. [Matlab file] [zip file]
Gaussian interventional data. Original structure. [Matlab file] [zip file]
Netbuilder observational data noise=0.01. Original structure.
[Matlab file]
[zip file]
Netbuilder interventional data noise=0.01. Original structure.
[Matlab file]
[zip file]
Netbuilder observational data noise=0.1. Original structure.
[Matlab file]
[zip file]
Netbuilder interventional data noise=0.1. Original structure.
[Matlab file]
[zip file]
Netbuilder observational data noise=0.3. Original structure.
[Matlab file]
[zip file]
Netbuilder interventional data noise=0.3. Original structure.
[Matlab file]
[zip file]
Real observational data.
[Matlab file]
[zip file]
Real interventional data.
[Matlab file]
[zip file]
Gaussian observational data. Modified structure.
[Matlab file]
[zip file]
Gaussian interventional data. Modified structure.
[Matlab file]
[zip file]
Netbuilder observational data noise=0.01. Modified structure.
[Matlab file]
[zip file]
Netbuilder interventional data noise=0.01. Modified structure.
[Matlab file]
[zip file]
Netbuilder observational data noise=0.1. Modified structure.
[Matlab file]
[zip file]
Netbuilder interventional data noise=0.1. Modified structure.
[Matlab file]
[zip file]
Netbuilder observational data noise=0.3. Modified structure.
[Matlab file]
[zip file]
Netbuilder interventional data noise=0.3. Modified structure.
[Matlab file]
[zip file]
When using our MCMC software for dealing with intervened data it will be necessary to specify the interventions.
Here you can find the
matlab file
with the interventions.
Software
Software from Adriano V. Werhli
Software for analysis and evaluation with examples.
[zip file]
When this file is unzipped you will find 4 folders.
Please read the txt files README and ExampleStepByStep for examples about how to use the software.
For GGMs we used the original R [software].
Software from Marco Grzegorczyk
Software for analysis of observational and interventional data with order MCMC.
[zip file]