Hidden Markov Models : Methods and Protocols /
| Autor Corporativo: | |
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| Otros Autores: | , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer New York : Imprint: Humana,
2017.
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| Edición: | 1st ed. 2017. |
| Colección: | Methods in Molecular Biology,
1552 |
| Materias: |
Tabla de Contenidos:
- 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. .