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170221s2017 xxu| s |||| 0|eng d |
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|a 9781493967537
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|a 10.1007/978-1-4939-6753-7
|2 doi
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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|a Hidden Markov Models :
|b Methods and Protocols /
|c edited by David R. Westhead, M. S. Vijayabaskar.
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250 |
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|a 1st ed. 2017.
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|a New York, NY :
|b Springer New York :
|b Imprint: Humana,
|c 2017.
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300 |
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|a X, 221 p. 59 illus., 17 illus. in color. :
|b online resource.
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Methods in Molecular Biology,
|v 1552
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|a Introduction to Hidden Markov Models and its Applications in Biology -- HMMs in Protein Fold Classification -- Application of Hidden Markov Models in Biomolecular Simulations -- Predicting Beta Barrel Transmembrane Proteins using HMMs -- Predicting Alpha Helical Transmembrane Proteins using HMMs -- Self-Organizing Hidden Markov Model Map (SOHMMM): Biological Sequence Clustering and Cluster Visualization -- Analyzing Single Molecule FRET Trajectories using HMM -- Modelling ChIP-seq Data using HMMs -- Hidden Markov Models in Bioinformatics: SNV Inference from Next Generation Sequence -- Computationally Tractable Multivariate HMM in Genome-wide Mapping Studies -- Hidden Markov Models in Population Genomics -- Differential Gene Expression (DEX) and Alternative Splicing Events (ASE) for Temporal Dynamic Processes using HMMs and Hierarchical Bayesian Modeling Approaches -- Finding RNA-Protein Interaction Sites using HMM -- Automated Estimation of Mouse Social Behaviours Based on a Hidden Markov Model -- Modeling Movement Primitives with Hidden Markov Models for Robotic and Biomedical Applications. .
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|a Bioinformatics.
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650 |
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|a Bioinformatics.
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|a Westhead, David R.
|e editor.
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|a Vijayabaskar, M. S.
|e editor.
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710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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