Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks

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 bioinformati...

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Bibliografske podrobnosti
Glavni avtor: Richard E Neapolitan
Format: Printed Book
Izdano: Amsterdam ; Boston Morgan Kaufmann/Elsevier 2009
Teme:
Bioinformatics. Bayesian statistical decision theory. Probabilities.
LEADER 01435nam a22001697a 4500
999 |c 29277  |d 29277 
020 |a 9780123704764 
082 |a 572.80285 NEA-P 
100 |a  Richard E Neapolitan 
245 |a Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks 
260 |b Morgan Kaufmann/Elsevier  |c 2009  |a  Amsterdam ; Boston 
300 |a  xii, 406 pages : illustrations ; 25 cm 
505 |a 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. 
520 |a 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. 
650 |a  Bioinformatics. Bayesian statistical decision theory. Probabilities.  
942 |c BK 
952 |0 0  |1 0  |4 0  |6 572_802850000000000_NEAP  |7 0  |9 32010  |a DCB  |b DCB  |d 2015-12-08  |l 0  |o 572.80285 NEA-P  |p DCB1734  |r 2015-12-08  |w 2019-07-19  |y BK 

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