Gene Regulatory Networks : Methods and Protocols /
| Autor Corporativo: | |
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| Otros Autores: | , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer New York : Imprint: Humana,
2019.
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| Edición: | 1st ed. 2019. |
| Colección: | Methods in Molecular Biology,
1883 |
| Materias: |
Tabla de Contenidos:
- Gene Regulatory Network Inference: An Introductory Survey
- Statistical Network Inference for Time-Varying Molecular Data with Dynamic Bayesian Networks
- Overview and Evaluation of Recent Methods for Statistical Inference of Gene Regulatory Networks from Time Series Data
- Whole-Transcriptome Causal Network Inference with Genomic and Transcriptomic Data
- Causal Queries from Observational Data in Biological Systems via Bayesian Networks: An Empirical Study in Small Networks
- A Multiattribute Gaussian Graphical Model for Inferring Multiscale Regulatory Networks: An Application in Breast Cancer
- Integrative Approaches for Inference of Genome-Scale Gene Regulatory Networks
- Unsupervised Gene Network Inference with Decision Trees and Random Forests
- Tree-Based Learning of Regulatory Network Topologies and Dynamics with Jump3
- Network Inference from Single-Cell Transcriptomic Data
- Inferring Gene Regulatory Networks from Multiple Datasets
- Unsupervised GRN Ensemble
- Learning Differential Module Networks across Multiple Experimental Conditions
- Stability in GRN Inference
- Gene Regulatory Networks: A Primer in Biological Processes and Statistical Modelling
- Scalable Inference of Ordinary Differential Equation Models of Biochemical Processes.