Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks
Richard E Neapolitan
Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks - Amsterdam ; Boston Morgan Kaufmann/Elsevier 2009 - xii, 406 pages : illustrations ; 25 cm
Background. Probalistic informatics ; Probability basics ; Statistics basics ; Genetics basics -- Bayesian networks. Foundations of Bayesian networks ; Further properties of Bayesian networks ; Learning Bayesian network parameters ; Learning Bayesian network structure -- Bioinformatics applications. Nonmolecular evolutionary genetics ; Molecular evolutionary genetics ; Molecular phylogenetics ; Analyzing gene expression data ; Genetic linkage analysis.
The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. This book provides background material on probability, statistics, and genetics, and then moves on to discuss Bayesian networks and applications to bioinformatics.
9780123704764
Bioinformatics. Bayesian statistical decision theory. Probabilities.
572.80285 NEA-P
Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks - Amsterdam ; Boston Morgan Kaufmann/Elsevier 2009 - xii, 406 pages : illustrations ; 25 cm
Background. Probalistic informatics ; Probability basics ; Statistics basics ; Genetics basics -- Bayesian networks. Foundations of Bayesian networks ; Further properties of Bayesian networks ; Learning Bayesian network parameters ; Learning Bayesian network structure -- Bioinformatics applications. Nonmolecular evolutionary genetics ; Molecular evolutionary genetics ; Molecular phylogenetics ; Analyzing gene expression data ; Genetic linkage analysis.
The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. This book provides background material on probability, statistics, and genetics, and then moves on to discuss Bayesian networks and applications to bioinformatics.
9780123704764
Bioinformatics. Bayesian statistical decision theory. Probabilities.
572.80285 NEA-P