[PDF.58gw] Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks

Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks

[PDF.oq07] Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks

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 | #955256 in Books |  Morgan Kaufmann |  2009-04-17 | Original language:English | PDF # 1 |  10.25 x8.00 x1.25l,1.95 | File type: PDF | 424 pages

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||6 of 7 people found the following review helpful.| Lots of examples|By E. Szeto|This book really helps in bridging formalism to understanding by providing lots of examples and walking through the examples. It's a pleasure to read.
One can skim what seems basic. But if something is not clear, one can work through a few examples. It's strength is pedagogical.|About the Author|Richard E. Neapolitan is professor and Chair of Computer Science at Northeastern Illinois University. He has previously written four books including the seminal 1990 Bayesian network text Probabilistic Reasoning in Expert Systems. More recently,

The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. When used in conjunction with specialized informatics, possibilities of real-world applications are achieved. Probabilistic Methods for BioInformatics explains the application of probability and statistics, in particular Bayesian networks, to genetics. This book provides background material on probability, statistics, and genetics...

You can specify the type of files you want, for your gadget.Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks   |  Richard E. Neapolitan.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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