Computational Systems Biology /

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: McDermott, Jason. (Editor ), Samudrala, Ram. (Editor ), Bumgarner, Roger. (Editor ), Montgomery, Kristina. (Editor ), Ireton, Reneé. (Editor )
Formato: eBook
Lenguaje:English
Publicado: Totowa, NJ : Humana Press : Imprint: Humana, 2009.
Edición:1st ed. 2009.
Colección:Methods in Molecular Biology, 541
Materias:
Tabla de Contenidos:
  • 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 Network Inference and Analysis Using SEBINI and CABIN.