Inferring Regulatory Networks from Expression Data Using Tree-Based Methods

Towards a Rigorous Assessment of Systems Biology Models: The DREAM3 Challenges

(2010) Robert J. Prill et al.   PLoS One

Revealing strengths and weaknesses of methods for gene network inference

(2010) D. Marbach et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Lessons from the DREAM2 Challenges

(2009) Gustavo Stolovitzky et al.   Annals of the New York Academy of Sciences

Reverse Engineering Molecular Regulatory Networks from Microarray Data with qp-Graphs

(2009) Robert Castelo et al.   JOURNAL OF COMPUTATIONAL BIOLOGY

Generating Realistic In Silico Gene Networks for Performance Assessment of Reverse Engineering Methods

(2009) Daniel Marbach et al.   JOURNAL OF COMPUTATIONAL BIOLOGY

Supervised learning with decision tree-based methods in computational and systems biology

(2009) Pierre Geurts et al.   Molecular BioSystems

Inferring sparse Gaussian graphical models with latent structure

(2009) Christophe Ambroise et al.   Electronic Journal of Statistics

Identification of Yeast Transcriptional Regulation Networks Using Multivariate Random Forests

(2009) Yuanyuan Xiao et al.   PLoS Computational Biology

Evolutionary approaches for the reverse-engineering of gene regulatory networks: A study on a biologically realistic dataset

(2008) Cédric Auliac et al.   BMC BIOINFORMATICS

minet: A R/Bioconductor Package for Inferring Large Transcriptional Networks Using Mutual Information

(2008) Patrick E Meyer et al.   BMC BIOINFORMATICS