Hidden Markov Models Methods and Protocols
This volume aims to provide a new perspective on the broader usage of Hidden Markov Models (HMMs) in biology. Hidden Markov Models: Methods and Protocols guides readers through chapters on biological systems; ranging from single biomolecule, cellular level, and to organism level and the use of HMMs...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Humana
2017, 2017
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| Edition: | 1st ed. 2017 |
| Series: | Methods in Molecular Biology
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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.