Characterizing the Topology of Probabilistic Biological Networks

No abstract is available for this paper.

• Publication year

  2013

• Venue

  IEEE/ACM Transactions on Computational Biology & Bioinformatics

• Publication date

  2013-07-01

• Fields of study

  Biology, Mathematics, Medicine, Computer Science

• Identifiers
  DOI 10.1109/TCBB.2013.108PMID 24334390
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• BMC: An Efficient Method to Evaluate Probabilistic Reachability Queries

  2011cited by this paper
• An integrative approach to ortholog prediction for disease-focused and other functional studies

  2011cited by this paper
• The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored

  2010cited by this paper
• Discovering pathways by orienting edges in protein interaction networks

  2010cited by this paper
• Bivariate lognormal distribution model of cutoff grade impurities: A case study of magnesite ore deposit

  2009cited by this paper
• The implications of human metabolic network topology for disease comorbidity

  2008cited by this paper
• Power-Law Distributions in Empirical Data

  2007cited by this paper
• Crystal structure of LL-diaminopimelate aminotransferase from Arabidopsis thaliana: a recently discovered enzyme in the biosynthesis of L-lysine by plants and Chlamydia.

  2007cited by this paper
• Biological network comparison using graphlet degree distribution

  2007cited by this paper
• SPINE: a framework for signaling-regulatory pathway inference from cause-effect experiments

  2007cited by this paper
• MINT: the Molecular INTeraction database

  2006cited by this paper
• An Iterative Algorithm for Metabolic Network-Based Drug Target Identification

  2006cited by this paper
• How Scale-Free Are Biological Networks

  2006cited by this paper
• Random graphs

  2006cited by this paper
• Towards a Theory of Scale-Free Graphs: Definition, Properties, and Implications

  2005cited by this paper
• The "robust yet fragile" nature of the Internet.

  2005cited by this paper
• Probability models for degree distributions of protein interaction networks

  2005cited by this paper
• Subnets of scale-free networks are not scale-free: sampling properties of networks.

  2005cited by this paper
• Effect of sampling on topology predictions of protein-protein interaction networks

  2005cited by this paper
• Scale-rich metabolic networks.

  2005cited by this paper
• Scale-freeness and biological networks.

  2005cited by this paper
• TopNet: a tool for comparing biological sub-networks, correlating protein properties with topological statistics.

  2004cited by this paper
• Modeling interactome: scale-free or geometric?

  2004cited by this paper
• A Bayesian method for identifying missing enzymes in predicted metabolic pathway databases

  2004cited by this paper
• Network biology: understanding the cell's functional organization

  2004cited by this paper
• Gaining confidence in high-throughput protein interaction networks

  2004cited by this paper
• Velocity and hierarchical spread of epidemic outbreaks in scale-free networks.

  2003cited by this paper
• MINT: a Molecular INTeraction database

  2002cited by this paper
• Assortative mixing in networks.

  2002cited by this paper
• Scale-free networks in biology: new insights into the fundamentals of evolution?

  2002cited by this paper
• Hierarchical Organization of Modularity in Metabolic Networks

  2002cited by this paper
• Are randomly grown graphs really random?

  2001cited by this paper
• Scale-free behavior in protein domain networks.

  2001cited by this paper
• Lethality and centrality in protein networks

  2001cited by this paper
• Community structure in social and biological networks

  2001cited by this paper
• Organization of growing random networks.

  2000cited by this paper
• A heuristic graph comparison algorithm and its application to detect functionally related enzyme clusters.

  2000cited by this paper
• Random graphs with arbitrary degree distributions and their applications.

  2000cited by this paper
• Computational Analysis of Biochemical Systems: A Practical Guide for Biochemists and Molecular Biologists

  2000cited by this paper
• The large-scale organization of metabolic networks

  2000cited by this paper
• Emergence of scaling in random networks

  1999cited by this paper
• Emergence of Scaling in Random Networks

  1999cited by this paper
• Renormalization Group Analysis of the Small-World Network Model

  1999cited by this paper
• Collective dynamics of ‘small-world’ networks

  1998cited by this paper
• An introduction to probability theory with statistical applications

  1984cited by this paper
• The Divergence and Bhattacharyya Distance Measures in Signal Selection

  1967cited by this paper
• Mathematical methods of statistics

  1946cited by this paper
• Biological.

  1895cited by this paper

• Dynamic Network Representation Based on Latent Factorization of Tensors

  2023cites this paper
• Motifs in Biological Networks

  2021cites this paper
• A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation

  2021cites this paper
• Modeling and Analysis of Bio-molecular Networks

  2020cites this paper
• Modeling and Analysis of Coupled Bio-molecular Circuits

  2020cites this paper
• A New Algorithm for Counting Independent Motifs in Probabilistic Networks

  2019cites this paper
• Counting independent motifs in probabilistic networks

  2016cites this paper
• A Bayesian Framework for Combining Protein and Network Topology Information for Predicting Protein-Protein Interactions

  2015cites this paper
• Computing interaction probabilities in signaling networks

  2015cites this paper
• Colored Noise Induced Bistable Switch in the Genetic Toggle Switch Systems

  2015cites this paper