An effective structure learning method for constructing gene networks
暂无分享,去创建一个
Xinkun Wang | Xue-wen Chen | Gopalakrishna Anantha | Xue-wen Chen | Xinkun Wang | Gopalakrishna Anantha
[1] Nir Friedman,et al. Bayesian Network Classifiers , 1997, Machine Learning.
[2] D 'haeseleer P,et al. Gene Network Inference Using a Linear, Additive Regulation Model , 1999 .
[3] Kristian G. Olesen,et al. Maximal Prime Subgraph Decomposition of Bayesian Networks , 2001, FLAIRS.
[4] S. P. Fodor,et al. Using oligonucleotide probe arrays to access genetic diversity. , 1995, BioTechniques.
[5] Michael I. Jordan. Learning in Graphical Models , 1999, NATO ASI Series.
[6] Kevin Murphy,et al. Modelling Gene Expression Data using Dynamic Bayesian Networks , 2006 .
[7] Liviu Badea,et al. Determining the Direction of Causal Influence in Large Probabilistic Networks: A Constraint-Based Approach , 2004, ECAI.
[8] P. Pochart,et al. Conserved Properties between Functionally Distinct MutS Homologs in Yeast* , 1997, The Journal of Biological Chemistry.
[9] H. D. Jong,et al. Qualitative simulation of genetic regulatory networks using piecewise-linear models , 2004, Bulletin of mathematical biology.
[10] A. Amon,et al. Regulation of B‐type cyclin proteolysis by Cdc28–associated kinases in budding yeast , 1997, The EMBO journal.
[11] A. Brazma,et al. Towards reconstruction of gene networks from expression data by supervised learning , 2003, Genome Biology.
[12] Satoru Miyano,et al. Inferring Gene Regulatory Networks from Time-Ordered Gene Expression Data of Bacillus Subtilis Using Differential Equations , 2002, Pacific Symposium on Biocomputing.
[13] J. Pearl,et al. Learning simple causal structures , 1993 .
[14] Edward R. Dougherty,et al. Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks , 2002, Bioinform..
[15] David Heckerman,et al. A Tutorial on Learning with Bayesian Networks , 1998, Learning in Graphical Models.
[16] Cynthia J. Brame,et al. Nuclear Import of Histone H2a and H2b Is Mediated by a Network of Karyopherins , 2001, The Journal of cell biology.
[17] Sergei Egorov,et al. Pathway studio - the analysis and navigation of molecular networks , 2003, Bioinform..
[18] Satoru Miyano,et al. Finding Optimal Models for Small Gene Networks , 2003 .
[19] Christopher Meek,et al. Causal inference and causal explanation with background knowledge , 1995, UAI.
[20] David A. Bell,et al. Learning Bayesian networks from data: An information-theory based approach , 2002, Artif. Intell..
[21] Satoru Miyano,et al. Using Protein-Protein Interactions for Refining Gene Networks Estimated from Microarray Data by Bayesian Networks , 2003, Pacific Symposium on Biocomputing.
[22] David Maxwell Chickering,et al. Learning Bayesian Networks is NP-Complete , 2016, AISTATS.
[23] Dirk Husmeier,et al. Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks , 2003, Bioinform..
[24] Ronald W. Davis,et al. Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray , 1995, Science.
[25] David Maxwell Chickering,et al. Learning Bayesian Networks: The Combination of Knowledge and Statistical Data , 1994, Machine Learning.
[26] V. Anne Smith,et al. Influence of Network Topology and Data Collection on Network Inference , 2003, Pacific Symposium on Biocomputing.
[27] Stuart A. Kauffman,et al. The origins of order , 1993 .
[28] Cheng-Yan Kao,et al. A stochastic differential equation model for quantifying transcriptional regulatory network in Saccharomyces cerevisiae , 2005, Bioinform..
[29] G. Di Stefano,et al. Imbalance in dosage of the genes for the heterochromatin components Sir3p and histone H4 results in changes in the length and sequence organization of yeast telomeres , 1999, Molecular and General Genetics MGG.
[30] Nir Friedman,et al. Data Analysis with Bayesian Networks: A Bootstrap Approach , 1999, UAI.
[31] 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.
[32] John G. Proakis,et al. Digital Communications , 1983 .
[33] Aurélien Mazurie,et al. Gene networks inference using dynamic Bayesian networks , 2003, ECCB.
[34] David Maxwell Chickering,et al. Optimal Structure Identification With Greedy Search , 2003, J. Mach. Learn. Res..
[35] Robert J. Schumacher,et al. Maturation of Human Cyclin E Requires the Function of Eukaryotic Chaperonin CCT , 1998, Molecular and Cellular Biology.
[36] Doug Fisher,et al. Learning from Data: Artificial Intelligence and Statistics V , 1996 .
[37] Nir Friedman,et al. Learning Bayesian Networks with Local Structure , 1996, UAI.
[38] Gregory F. Cooper,et al. A Bayesian method for the induction of probabilistic networks from data , 1992, Machine Learning.
[39] Nir Friedman,et al. Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm , 1999, UAI.
[40] Nir Friedman,et al. Inferring subnetworks from perturbed expression profiles , 2001, ISMB.
[41] Min Zou,et al. A new dynamic Bayesian network (DBN) approach for identifying gene regulatory networks from time course microarray data , 2005, Bioinform..
[42] Gregory F. Cooper,et al. The ALARM Monitoring System: A Case Study with two Probabilistic Inference Techniques for Belief Networks , 1989, AIME.
[43] V. Anne Smith,et al. Evaluating functional network inference using simulations of complex biological systems , 2002, ISMB.
[44] Xiaobo Zhou,et al. A Bayesian connectivity-based approach to constructing probabilistic gene regulatory networks , 2004, Bioinform..
[45] D. Engelberg,et al. The Yeast Ras/Cyclic AMP Pathway Induces Invasive Growth by Suppressing the Cellular Stress Response , 1999, Molecular and Cellular Biology.
[46] Patrik D'haeseleer,et al. Linear Modeling of mRNA Expression Levels During CNS Development and Injury , 1998, Pacific Symposium on Biocomputing.
[47] B. Snel,et al. Comparative assessment of large-scale data sets of protein–protein interactions , 2002, Nature.
[48] Patrik D'haeseleer,et al. Genetic network inference: from co-expression clustering to reverse engineering , 2000, Bioinform..
[49] Michal Linial,et al. Using Bayesian Networks to Analyze Expression Data , 2000, J. Comput. Biol..
[50] Xutao Deng,et al. EXAMINE: a computational approach to reconstructing gene regulatory networks. , 2005, Bio Systems.
[51] E. Alani,et al. The Saccharomyces cerevisiae Msh2 and Msh6 proteins form a complex that specifically binds to duplex oligonucleotides containing mismatched DNA base pairs , 1996, Molecular and cellular biology.
[52] Diego di Bernardo,et al. Robust Identification of Large Genetic Networks , 2003, Pacific Symposium on Biocomputing.
[53] Marcel J. T. Reinders,et al. Linear Modeling of Genetic Networks from Experimental Data , 2000, ISMB.
[54] Jesper Tegnér,et al. Growing Bayesian network models of gene networks from seed genes , 2005, ECCB/JBI.
[55] Luis M. de Campos,et al. A comparison of learning algorithms for Bayesian networks: a case study based on data from an emergency medical service , 2004, Artif. Intell. Medicine.
[56] Luis M. de Campos,et al. Searching for Bayesian Network Structures in the Space of Restricted Acyclic Partially Directed Graphs , 2011, J. Artif. Intell. Res..
[57] Luis M. de Campos,et al. A new approach for learning belief networks using independence criteria , 2000, Int. J. Approx. Reason..
[58] Paul P. Wang,et al. Advances to Bayesian network inference for generating causal networks from observational biological data , 2004, Bioinform..
[59] David Heckerman,et al. A Tutorial on Learning with Bayesian Networks , 1999, Innovations in Bayesian Networks.
[60] Michael Ruogu Zhang,et al. Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization. , 1998, Molecular biology of the cell.
[61] Sui Huang. Gene expression profiling, genetic networks, and cellular states: an integrating concept for tumorigenesis and drug discovery , 1999, Journal of Molecular Medicine.
[62] P. Bork,et al. Functional organization of the yeast proteome by systematic analysis of protein complexes , 2002, Nature.
[63] Lorenz Wernisch,et al. Reconstruction of gene networks using Bayesian learning and manipulation experiments , 2004, Bioinform..
[64] Alexander J. Hartemink,et al. Informative Structure Priors: Joint Learning of Dynamic Regulatory Networks from Multiple Types of Data , 2004, Pacific Symposium on Biocomputing.