[PDF.13oa] Hidden Markov Models for Bioinformatics (Computational Biology)

Hidden Markov Models for Bioinformatics (Computational Biology)

[PDF.ai34] Hidden Markov Models for Bioinformatics (Computational Biology)

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 | #4878086 in Books |  Springer |  2001-11-30 | Original language:English | PDF # 1 |  9.00 x.94 x6.00l,1.28 | File type: PDF | 391 pages

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||8 of 9 people found the following review helpful.| Primarily for bio-mathematicians|By Dr. Lee D. Carlson|The field of computational biology has expanded greatly in the last decade, mainly due to the increasing role of bioinformatics in the genome sequencing projects. This book outlines a particular set of algorithms called hidden Markov models, that are used frequently in genetic sequence search routines. The book is primarily

The purpose of this book is to give a thorough and systematic introduction to probabilistic modeling in bioinformatics. The book contains a mathematically strict and extensive presentation of the kind of probabilistic models that have turned out to be useful in genome analysis. Questions of parametric inference, selection between model families, and various architectures are treated. Several examples are given of known ...

You can specify the type of files you want, for your device.Hidden Markov Models for Bioinformatics (Computational Biology)   |  T. Koski. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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