Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
The gene expression matrix: towards the extraction of genetic network architectures
Proceedings of the second world congress on Nonlinear analysts: part 3
Identifying gene regulatory networks from experimental data
RECOMB '99 Proceedings of the third annual international conference on Computational molecular biology
Identification of gene regulatory networks by strategic gene disruptions and gene overexpressions
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Inference and Learning in Hybrid Bayesian Networks
Inference and Learning in Hybrid Bayesian Networks
Causal discovery from a mixture of experimental and observational data
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Data analysis with bayesian networks: a bootstrap approach
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Learning bayesian network structure from massive datasets: the «sparse candidate« algorithm
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
A general algorithm for approximate inference and its application to hybrid bayes nets
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Learning the structure of dynamic probabilistic networks
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
A transformational characterization of equivalent Bayesian network structures
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
On the sample complexity of learning Bayesian networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
On the predictive power of sequence similarity in yeast
RECOMB '01 Proceedings of the fifth annual international conference on Computational biology
Analysis techniques for microarray time-series data
RECOMB '01 Proceedings of the fifth annual international conference on Computational biology
A new approach to analyzing gene expression time series data
Proceedings of the sixth annual international conference on Computational biology
Bayesian Methods for Elucidating Genetic Regulatory Networks
IEEE Intelligent Systems
An Effective Conversational Agent with User Modeling Based on Bayesian Network
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
Construction of Large-Scale Bayesian Networks by Local to Global Search
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Theoretical Computer Science - Selected papers in honour of Setsuo Arikawa
Handling very large numbers of association rules in the analysis of microarray data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Cancer classification using gene expression data
Information Systems - Special issue: Data management in bioinformatics
Revising regulatory networks: from expression data to linear causal models
Journal of Biomedical Informatics
A new framework for clustering algorithm evaluation in the domain of functional genomics
Proceedings of the 2004 ACM symposium on Applied computing
Graphical modeling based gene interaction analysis for microarray data
ACM SIGKDD Explorations Newsletter
Information Sciences: an International Journal - Special issue: Soft computing data mining
Bioinformatics—an introduction for computer scientists
ACM Computing Surveys (CSUR)
"Ideal Parent" structure learning for continuous variable networks
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Automated analysis of DNA hybridization images for high-throughput genomics
Machine Vision and Applications
Attribute Clustering for Grouping, Selection, and Classification of Gene Expression Data
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
BioCAD: an information fusion platform for bio-network inference and analysis
TMBIO '06 Proceedings of the 1st international workshop on Text mining in bioinformatics
Exploring gene causal interactions using an enhanced constraint-based method
Pattern Recognition
Learning causal networks from microarray data
WISB '06 Proceedings of the 2006 workshop on Intelligent systems for bioinformatics - Volume 73
Towards efficient variables ordering for Bayesian networks classifier
Data & Knowledge Engineering
Bayesian networks for imputation in classification problems
Journal of Intelligent Information Systems
Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures
ECML '07 Proceedings of the 18th European conference on Machine Learning
Using Markov Blankets for Causal Structure Learning
The Journal of Machine Learning Research
Reverse Engineering of Regulatory Relations in Gene Networks by a Probabilistic Approach
WILF '09 Proceedings of the 8th International Workshop on Fuzzy Logic and Applications
Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks
Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks
Learning causal models for noisy biological data mining: an application to ovarian cancer detection
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Using a local discovery ant algorithm for Bayesian network structure learning
IEEE Transactions on Evolutionary Computation
Bayesian robustness in the control of gene regulatory networks
IEEE Transactions on Signal Processing
Model gene network by semi-fixed Bayesian network
Expert Systems with Applications: An International Journal
Using Bayesian networks to analyze medical data
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
Robust inference in Bayesian networks with application to gene expression temporal data
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
A partial correlation-based algorithm for causal structure discovery with continuous variables
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
CrimeLink explorer: using domain knowledge to facilitate automated crime association analysis
ISI'03 Proceedings of the 1st NSF/NIJ conference on Intelligence and security informatics
Learning Non-Stationary Dynamic Bayesian Networks
The Journal of Machine Learning Research
Being Bayesian about network structure
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
A hybrid algorithm to infer genetic networks
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Analyzing the effect of prior knowledge in genetic regulatory network inference
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Efficient causal interaction learning with applications in microarray
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
A GO-Based method for assessing the biological plausibility of regulatory hypotheses
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part II
Transient Dynamics of Reduced-Order Models of Genetic Regulatory Networks
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Artificial Intelligence in Medicine
Bayesian network structure learning from limited datasets through graph evolution
EuroGP'12 Proceedings of the 15th European conference on Genetic Programming
A memetic approach to bayesian network structure learning
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
Parallel globally optimal structure learning of Bayesian networks
Journal of Parallel and Distributed Computing
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DNA hybridization arrays simultaneously measure the expression level for thousands of genes. These measurements provide a “snapshot” of transcription levels within the cell. A major challenge in computational biology is to uncover, from such measurements, gene/protein interactions and key biological features of cellular systems.In this paper, we propose a new framework for discovering interactions between genes based on multiple expression measurements This framework builds on the use of Bayesian networks for representing statistical dependencies. A Bayesian network is a graph-based model of joint multi-variate probability distributions that captures properties of conditional independence between variables. Such models are attractive for their ability to describe complex stochastic processes, and for providing clear methodologies for learning from (noisy) observations.We start by showing how Bayesian networks can describe interactions between genes. We then present an efficient algorithm capable of learning such networks and statistical method to assess our confidence in their features. Finally, we apply this method to the S. cerevisiae cell-cycle measurements of Spellman et al. [35] to uncover biological features