Evaluating Clustering Algorithms for Genetic Regulatory Network Structural Inference

No abstract is available for this paper.

• Publication year

  2009

• Venue

  SGAI Conferences

• Publication date

  Unknown publication date

• Fields of study

  Biology, Computer Science

• Identifiers
  DOI 10.1007/978-1-84882-983-1_10
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Machine Learning and Genetic Regulatory Networks: A Review and a Roadmap

  2009cited by this paper
• GREENSIM: A Genetic Regulatory Network Simulator

  2008cited by this paper
• Universally Sloppy Parameter Sensitivities in Systems Biology Models

  2007cited by this paper
• How high is the level of technical noise in microarray data?

  2007cited by this paper
• Analysis and prediction of antibacterial peptides

  2007cited by this paper
• FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data

  2007cited by this paper
• Current approaches to gene regulatory network modelling

  2007cited by this paper
• Size matters: network inference tackles the genome scale

  2007cited by this paper
• A novel non-overlapping bi-clustering algorithm for network generation using living cell array data

  2007cited by this paper
• Simulation of microarray data with realistic characteristics

  2006cited by this paper
• The Inferelator: an algorithm for learning parsimonious regulatory networks from systems-biology data sets de novo

  2006cited by this paper
• Comparative genomics of Drosophila and human core promoters

  2006cited by this paper
• Modelling gene networks at different organisational levels

  2005cited by this paper
• Noise-robust Soft Clustering of Gene Expression Time-course Data

  2005cited by this paper
• Cluster analysis for gene expression data: a survey

  2004cited by this paper
• Gene Clustering Based on Clusterwide Mutual Information

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

  2004cited by this paper
• Noise factor analysis for cDNA microarrays.

  2004cited by this paper
• Advances to Bayesian network inference for generating causal networks from observational biological data

  2004cited by this paper
• Whole-genome discovery of transcription factor binding sites by network-level conservation.

  2003cited by this paper
• Clustering-based Approaches to Discovering and Visualising Microarray Data Patterns

  2003cited by this paper
• Using Bayesian Network Inference Algorithms to Recover Molecular Genetic Regulatory Networks

  2002cited by this paper
• A modified fuzzy ART for soft document clustering

  2002cited by this paper
• Inference of a genetic network by a combined approach of cluster analysis and graphical Gaussian modeling

  2002cited by this paper
• Modeling and Simulation of Genetic Regulatory Systems: A Literature Review

  2002cited by this paper
• Missing value estimation methods for DNA microarrays

  2001cited by this paper
• Statistical estimation of cluster boundaries in gene expression profile data

  2001cited by this paper
• A gene network inference method from continuous-value gene expression data of wild-type and mutants.

  2000cited by this paper
• Cluster analysis and display of genome-wide expression patterns.

  1998cited by this paper
• Ieee/acm Transactions on Computational Biology and Bioinformatics 1 Biclustering Algorithms for Biological Data Analysis: a Survey

  year unknowncited by this paper

• GreenSim: A Network Simulator for Comprehensively Validating and Evaluating New Machine Learning Techniques for Network Structural Inference

  2010cites this paper