Revealing Structure of Complex Biological Systems Using Bayesian Networks
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[1] Gregory F. Cooper,et al. Causal Discovery from a Mixture of Experimental and Observational Data , 1999, UAI.
[2] Dimitris Samaras,et al. Modeling Neuronal Interactivity using Dynamic Bayesian Networks , 2005, NIPS.
[3] David Heckerman,et al. A Tutorial on Learning with Bayesian Networks , 1999, Innovations in Bayesian Networks.
[4] Dimitris Margaritis,et al. Distribution-Free Learning of Bayesian Network Structure in Continuous Domains , 2005, AAAI.
[5] Rong Jin,et al. On the Use of Dynamic Bayesian Networks in Reconstructing Functional Neuronal Networks from Spike Train Ensembles , 2010, Neural Computation.
[6] Tommi S. Jaakkola,et al. Combining Location and Expression Data for Principled Discovery of Genetic Regulatory Network Models , 2001, Pacific Symposium on Biocomputing.
[7] Nir Friedman,et al. Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks , 2004, Machine Learning.
[8] N. L. Johnson,et al. Continuous Multivariate Distributions: Models and Applications , 2005 .
[9] Akhilesh Pandey,et al. Comparisons of tyrosine phosphorylated proteins in cells expressing lung cancer-specific alleles of EGFR and KRAS , 2008, Proceedings of the National Academy of Sciences.
[10] Nir Friedman,et al. Inferring subnetworks from perturbed expression profiles , 2001, ISMB.
[11] T. Dawson,et al. Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? , 2003 .
[12] Sascha Ott,et al. Increasing feasibility of optimal gene network estimation. , 2004, Genome informatics. International Conference on Genome Informatics.
[13] Paul P. Wang,et al. Advances to Bayesian network inference for generating causal networks from observational biological data , 2004, Bioinform..
[14] F Matthäus,et al. Interactive Molecular Networks Obtained by Computer-aided Conversion of Microarray Data from Brains of Alcohol-drinking Rats , 2009, Pharmacopsychiatry.
[15] Vincent Frouin,et al. Evolutionary approaches for the reverse-engineering of gene regulatory networks: A study on a biologically realistic dataset , 2008, BMC Bioinformatics.
[16] Kevin Murphy,et al. Modelling Gene Expression Data using Dynamic Bayesian Networks , 2006 .
[17] A. Arkin,et al. Stochastic mechanisms in gene expression. , 1997, Proceedings of the National Academy of Sciences of the United States of America.
[18] John Quackenbush,et al. Seeded Bayesian Networks: Constructing genetic networks from microarray data , 2008, BMC Systems Biology.
[19] Deborah Sanders,et al. Computational Strategy for Discovering Druggable Gene Networks from Genome-Wide RNA Expression Profiles , 2005, Pacific Symposium on Biocomputing.
[20] Karim Oweiss,et al. Reconstructing functional neuronal circuits using dynamic Bayesian networks , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[21] Henry Tirri,et al. B-Course: A Web-Based Tool for Bayesian and Causal Data Analysis , 2002, Int. J. Artif. Intell. Tools.
[22] Satoru Miyano,et al. Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network , 2003, J. Bioinform. Comput. Biol..
[23] Robert G. Cowell,et al. Conditions Under Which Conditional Independence and Scoring Methods Lead to Identical Selection of Bayesian Network Models , 2001, UAI.
[24] Bartek Wilczynski,et al. BNFinder: exact and efficient method for learning Bayesian networks , 2008, Bioinform..
[25] V. Anne Smith,et al. Influence of Network Topology and Data Collection on Network Inference , 2003, Pacific Symposium on Biocomputing.
[26] Amos Tanay,et al. Minreg: Inferring an active regulator set , 2002, ISMB.
[27] W. G. Kelly,et al. Functional genomic analysis of the ADP‐ribosylation factor family of GTPases: phylogeny among diverse eukaryotes and function in C. elegans , 2004, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.
[28] Tianzi Jiang,et al. Exploring candidate genes for human brain diseases from a brain-specific gene network. , 2006, Biochemical and biophysical research communications.
[29] Satoru Miyano,et al. Combining Microarrays and Biological Knowledge for Estimating Gene Networks via Bayesian Networks , 2004, J. Bioinform. Comput. Biol..
[30] David Maxwell Chickering,et al. Learning Bayesian Networks is NP-Complete , 2016, AISTATS.
[31] Giovanni Fusco. Looking for sustainable urban mobility through bayesian network , 2003 .
[32] Claus Dethlefsen,et al. deal: A Package for Learning Bayesian Networks , 2003 .
[33] Tommi S. Jaakkola,et al. Using Graphical Models and Genomic Expression Data to Statistically Validate Models of Genetic Regulatory Networks , 2000, Pacific Symposium on Biocomputing.
[34] D. A. Kenny,et al. Correlation and Causation , 1937, Wilmott.
[35] Martin J. McKeown,et al. Bayesian Network Modeling for Discovering “Dependent Synergies” Among Muscles in Reaching Movements , 2008, IEEE Transactions on Biomedical Engineering.
[36] Juan Zhou,et al. Learning effective brain connectivity with dynamic Bayesian networks , 2007, NeuroImage.
[37] P. Bandettini,et al. What's New in Neuroimaging Methods? , 2009, Annals of the New York Academy of Sciences.
[38] Rong Jin,et al. Inferring functional cortical networks from spike train ensembles using Dynamic Bayesian Networks , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.
[39] Gregory F. Cooper,et al. Discovery of Causal Relationships in a Gene-Regulation Pathway from a Mixture of Experimental and Observational DNA Microarray Data , 2001, Pacific Symposium on Biocomputing.
[40] Guoliang Xue,et al. Applying two-level simulated annealing on Bayesian structure learning to infer genetic networks , 2004 .
[41] N. L. Johnson,et al. Continuous Multivariate Distributions, Volume 1: Models and Applications , 2019 .
[42] Tommi S. Jaakkola,et al. On the Dirichlet Prior and Bayesian Regularization , 2002, NIPS.
[43] P. Spirtes,et al. An Algorithm for Fast Recovery of Sparse Causal Graphs , 1991 .
[44] Michael I. Jordan,et al. Learning Graphical Models with Mercer Kernels , 2002, NIPS.
[45] J. Derisi,et al. A Bayesian Network Driven Approach to Model the Transcriptional Response to Nitric Oxide in Saccharomyces cerevisiae , 2006, PloS one.
[46] David J. Spiegelhalter,et al. Bayesian analysis in expert systems , 1993 .
[47] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[48] Michal Linial,et al. Using Bayesian Networks to Analyze Expression Data , 2000, J. Comput. Biol..
[49] Satoru Miyano,et al. Estimation of Genetic Networks and Functional Structures Between Genes by Using Bayesian Networks and Nonparametric Regression , 2001, Pacific Symposium on Biocomputing.
[50] Xiaohui Chen,et al. BNArray: an R package for constructing gene regulatory networks from microarray data by using Bayesian network. , 2006, Bioinformatics.
[51] Alexander J. Hartemink,et al. Informative Structure Priors: Joint Learning of Dynamic Regulatory Networks from Multiple Types of Data , 2004, Pacific Symposium on Biocomputing.
[52] Satoru Miyano,et al. Identifying drug active pathways from gene networks estimated by gene expression data. , 2005, Genome informatics. International Conference on Genome Informatics.
[53] Carlos Cotta,et al. A Primer on the Evolution of Equivalence Classes of Bayesian-Network Structures , 2004, PPSN.
[54] Dirk Husmeier,et al. Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks , 2003, Bioinform..
[55] Rainer Spang,et al. Inferring cellular networks – a review , 2007, BMC Bioinformatics.
[56] Satoru Miyano,et al. Estimating gene networks from gene expression data by combining Bayesian network model with promoter element detection , 2003, ECCB.
[57] Patrick C Phillips,et al. Network thinking in ecology and evolution. , 2005, Trends in ecology & evolution.
[58] K. Sachs,et al. Causal Protein-Signaling Networks Derived from Multiparameter Single-Cell Data , 2005, Science.
[59] Nir Friedman,et al. Inferring Cellular Networks Using Probabilistic Graphical Models , 2004, Science.
[60] Jing Yu,et al. Developing bayesian network inference algorithms to predict causal functional pathways in biological systems , 2005 .
[61] Wai Lam,et al. LEARNING BAYESIAN BELIEF NETWORKS: AN APPROACH BASED ON THE MDL PRINCIPLE , 1994, Comput. Intell..
[62] Doheon Lee,et al. Modularized learning of genetic interaction networks from biological annotations and mRNA expression data , 2005, Bioinform..
[63] J. Lawton,et al. Making mistakes when predicting shifts in species range in response to global warming , 1998, Nature.
[64] Colin M Beale,et al. Revealing ecological networks using Bayesian network inference algorithms. , 2010, Ecology.
[65] David Page,et al. Modelling regulatory pathways in E. coli from time series expression profiles , 2002, ISMB.
[66] V. Anne Smith,et al. Causal pattern recovery from neural spike train data using the Snap Shot Score , 2010, Journal of Computational Neuroscience.
[67] C. Knight,et al. Pale Rock Sparrow Carpospiza brachydactyla in the Mount Lebanon range: modelling breeding habitat , 2005 .
[68] Mingyi Wang,et al. A hybrid Bayesian network learning method for constructing gene networks , 2007, Comput. Biol. Chem..
[69] D. Husmeier,et al. Reconstructing Gene Regulatory Networks with Bayesian Networks by Combining Expression Data with Multiple Sources of Prior Knowledge , 2007, Statistical applications in genetics and molecular biology.
[70] Satoru Miyano,et al. Utilizing Evolutionary Information and Gene Expression Data for Estimating Gene Networks with Bayesian Network Models , 2005, J. Bioinform. Comput. Biol..
[71] Jing Yu,et al. Computational Inference of Neural Information Flow Networks , 2006, PLoS Comput. Biol..
[72] Wray L. Buntine. Theory Refinement on Bayesian Networks , 1991, UAI.
[73] Quentin Paynter,et al. The invertebrate fauna on broom, Cytisus scoparius, in two native and two exotic habitats , 2000 .
[74] Weiru Liu,et al. Learning belief networks from data: an information theory based approach , 1997, CIKM '97.
[75] Satoru Miyano,et al. Using Protein-Protein Interactions for Refining Gene Networks Estimated from Microarray Data by Bayesian Networks , 2003, Pacific Symposium on Biocomputing.
[76] Rajesh P. N. Rao. Bayesian Computation in Recurrent Neural Circuits , 2004, Neural Computation.
[77] Kevin B. Korb,et al. Causal Discovery via MML , 1996, ICML.
[78] Jagath C. Rajapakse,et al. Learning functional structure from fMR images , 2006, NeuroImage.
[79] Uri T Eden,et al. A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects. , 2005, Journal of neurophysiology.
[80] N. Wermuth,et al. Graphical and recursive models for contingency tables , 1983 .
[81] Joe Suzuki,et al. A Construction of Bayesian Networks from Databases Based on an MDL Principle , 1993, UAI.
[82] Aurélien Mazurie,et al. Gene networks inference using dynamic Bayesian networks , 2003, ECCB.
[83] Bartek Wilczynski,et al. Applying dynamic Bayesian networks to perturbed gene expression data , 2006, BMC Bioinformatics.
[84] Benjamin F. Grewe,et al. Optical probing of neuronal ensemble activity , 2009, Current Opinion in Neurobiology.
[85] Doug Fisher,et al. Learning from Data: Artificial Intelligence and Statistics V , 1996 .
[86] Koichi Sameshima,et al. Using partial directed coherence to describe neuronal ensemble interactions , 1999, Journal of Neuroscience Methods.
[87] Hamilton E. Link,et al. Discrete dynamic Bayesian network analysis of fMRI data , 2009, Human brain mapping.
[88] Charles Twardy,et al. Missing Person Behaviour An Australian Study , 2006 .
[89] Radhakrishnan Nagarajan,et al. NATbox: a network analysis toolbox in R , 2009, BMC Bioinformatics.
[90] Zheng Li,et al. Inferring pathways and networks with a Bayesian framework , 2004, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.
[91] Doheon Lee,et al. Inference of combinatorial neuronal synchrony with Bayesian networks , 2010, Journal of Neuroscience Methods.
[92] Kevin P. Murphy,et al. Learning the Structure of Dynamic Probabilistic Networks , 1998, UAI.
[93] Kevin Murphy,et al. Bayes net toolbox for Matlab , 1999 .
[94] Nir Friedman,et al. Learning Belief Networks in the Presence of Missing Values and Hidden Variables , 1997, ICML.
[95] T. Speed,et al. Recursive causal models , 1984, Journal of the Australian Mathematical Society. Series A. Pure Mathematics and Statistics.
[96] Gregory T. A. Kovacs,et al. Optical Scanner for Immunoassays With Up-Converting Phosphorescent Labels , 2008, IEEE Transactions on Biomedical Engineering.
[97] Isabel M. Tienda-Luna,et al. Uncovering Gene Regulatory Networks from Time-Series Microarray Data with Variational Bayesian Structural Expectation Maximization , 2007, EURASIP J. Bioinform. Syst. Biol..
[98] Nir Friedman,et al. Being Bayesian about Network Structure , 2000, UAI.
[99] Xiaoyu Chen,et al. Prediction of tissue-specific cis-regulatory modules using Bayesian networks and regression trees , 2007, BMC Bioinformatics.
[100] Gregory F. Cooper,et al. A Bayesian method for the induction of probabilistic networks from data , 1992, Machine Learning.