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Adriano Werhli's Research

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Comparative Evaluation of Reverse Engineering Gene Regulatory Networks

Paper

[Abstract - Pre Print]
[Paper - Pre Print]
[Supplementary Material]
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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.

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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]