Computational Systems Biology
| Tác giả của công ty: | |
|---|---|
| Tác giả khác: | , , , , | 
| Tóm tắt: | XVIII, 587 p. 130 illus., 3 illus. in color. text | 
| Ngôn ngữ: | Tiếng Anh | 
| Được phát hành: | Totowa, NJ :
          Humana Press : Imprint: Humana,
    
        2009. | 
| Phiên bản: | 1st ed. 2009. | 
| Loạt: | Methods in Molecular Biology,
              541 | 
| Những chủ đề: | |
| Truy cập trực tuyến: | https://doi.org/10.1007/978-1-59745-243-4 | 
| Định dạng: | Điện tử Sách | 
                Mục lục: 
            
                  - Network Components
- Identification of cis-Regulatory Elements in Gene Co-expression Networks Using A-GLAM
- Structure-Based Ab Initio Prediction of Transcription Factor–Binding Sites
- Inferring Protein–Protein Interactions from Multiple Protein Domain Combinations
- Prediction of Protein–Protein Interactions: A Study of the Co-evolution Model
- Computational Reconstruction of Protein–Protein Interaction Networks: Algorithms and Issues
- Prediction and Integration of Regulatory and Protein–Protein Interactions
- Detecting Hierarchical Modularity in Biological Networks
- Network Inference
- Methods to Reconstruct and Compare Transcriptional Regulatory Networks
- Learning Global Models of Transcriptional Regulatory Networks from Data
- Inferring Molecular Interactions Pathways from eQTL Data
- Methods for the Inference of Biological Pathways and Networks
- Network Dynamics
- Exploring Pathways from Gene Co-expression to Network Dynamics
- Network Dynamics
- Kinetic Modeling of Biological Systems
- Guidance for Data Collection and Computational Modelling of Regulatory Networks
- Function and Evolutionary Systems Biology
- A Maximum Likelihood Method for Reconstruction of the Evolution of Eukaryotic Gene Structure
- Enzyme Function Prediction with Interpretable Models
- Using Evolutionary Information to Find Specificity-Determining and Co-evolving Residues
- Connecting Protein Interaction Data, Mutations, and Disease Using Bioinformatics
- Effects of Functional Bias on Supervised Learning of a Gene Network Model
- Computational Infrastructure for Systems Biology
- Comparing Algorithms for Clustering of Expression Data: How to Assess Gene Clusters
- The Bioverse API and Web Application
- Computational Representation of Biological Systems
- Biological NetworkInference and Analysis Using SEBINI and CABIN.