Transcriptional Network Inference Based on Information Theory

[1]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[2]  C. N. Liu,et al.  Approximating discrete probability distributions with dependence trees , 1968, IEEE Trans. Inf. Theory.

[3]  B. Moret,et al.  An Emperical Analysis of Algorithms for Constructing a Minimum Spanning Tree , 1991, WADS.

[4]  P. Spirtes,et al.  Causation, prediction, and search , 1993 .

[5]  David A. Bell,et al.  Learning Bayesian networks from data: An information-theory based approach , 2002, Artif. Intell..

[6]  A. Butte,et al.  Discovering functional relationships between RNA expression and chemotherapeutic susceptibility using relevance networks. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[7]  M. Reinders,et al.  Genetic network modeling. , 2002, Pharmacogenomics.

[8]  Byoung-Tak Zhang,et al.  Construction of Large-Scale Bayesian Networks by Local to Global Search , 2002, PRICAI.

[9]  Bernd Freisleben,et al.  Greedy and Local Search Heuristics for Unconstrained Binary Quadratic Programming , 2002, J. Heuristics.

[10]  Constantin F. Aliferis,et al.  Algorithms for Large Scale Markov Blanket Discovery , 2003, FLAIRS.

[11]  Ivan Bratko,et al.  Quantifying and Visualizing Attribute Interactions , 2003, ArXiv.

[12]  Ivan Bratko,et al.  Testing the significance of attribute interactions , 2004, ICML.

[13]  Timothy S Gardner,et al.  Reverse-engineering transcription control networks. , 2005, Physics of life reviews.

[14]  Chitta Baral,et al.  An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset , 2005, AIME.

[15]  Fuhui Long,et al.  Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy , 2003, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[16]  Stan Szpakowicz,et al.  Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation , 2006, Australian Conference on Artificial Intelligence.

[17]  Chris Wiggins,et al.  ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context , 2004, BMC Bioinformatics.

[18]  D. Anastassiou Computational analysis of the synergy among multiple interacting genes , 2007, Molecular systems biology.

[19]  J. Collins,et al.  Large-Scale Mapping and Validation of Escherichia coli Transcriptional Regulation from a Compendium of Expression Profiles , 2007, PLoS biology.

[20]  Masao Nagasaki,et al.  Recursive regularization for inferring gene networks from time-course gene expression profiles , 2009, BMC Systems Biology.

[21]  Nagasuma R. Chandra,et al.  A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data , 2009, Algorithms for Molecular Biology.

[22]  Jiji Zhang,et al.  Detection of Unfaithfulness and Robust Causal Inference , 2008, Minds and Machines.

[23]  Gianluca Bontempi,et al.  minet: A R/Bioconductor Package for Inferring Large Transcriptional Networks Using Mutual Information , 2008, BMC Bioinformatics.

[24]  E. Dougherty,et al.  Inferring Connectivity of Genetic Regulatory Networks Using Information-Theoretic Criteria , 2008, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

[25]  Dimitris Margaritis,et al.  Improving the Reliability of Causal Discovery from Small Data Sets Using Argumentation , 2009, J. Mach. Learn. Res..

[26]  David Correa Martins,et al.  Comparative study of GRNS inference methods based on feature selection by mutual information , 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.