Literature DB >> 11072355

A System to Find Genetic Networks Using Weighted Network Model.

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Abstract

We are developing a system which finds a genetic network from data obtained by multiple gene disruptions and overexpressions. We deal with a genetic network as a weighted graph, where each weight represents the strength of activation from a gene to another gene. In this paper, we explain the overview of our system, and our strategy to visualize the weighted network. We also study the computational complexity related to the visualization.

Year:  1999        PMID: 11072355

Source DB:  PubMed          Journal:  Genome Inform Ser Workshop Genome Inform


  2 in total

1.  Applying dynamic Bayesian networks to perturbed gene expression data.

Authors:  Norbert Dojer; Anna Gambin; Andrzej Mizera; Bartek Wilczyński; Jerzy Tiuryn
Journal:  BMC Bioinformatics       Date:  2006-05-08       Impact factor: 3.169

2.  A model-based optimization framework for the inference of regulatory interactions using time-course DNA microarray expression data.

Authors:  Reuben Thomas; Carlos J Paredes; Sanjay Mehrotra; Vassily Hatzimanikatis; Eleftherios T Papoutsakis
Journal:  BMC Bioinformatics       Date:  2007-06-29       Impact factor: 3.169

  2 in total

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