Literature DB >> 21699737

A proof of the DBRF-MEGN method, an algorithm for deducing minimum equivalent gene networks.

Koji Kyoda1, Kotaro Baba, Hiroaki Kitano, Shuichi Onami.   

Abstract

BACKGROUND: We previously developed the DBRF-MEGN (difference-based regulation finding-minimum equivalent gene network) method, which deduces the most parsimonious signed directed graphs (SDGs) consistent with expression profiles of single-gene deletion mutants. However, until the present study, we have not presented the details of the method's algorithm or a proof of the algorithm.
RESULTS: We describe in detail the algorithm of the DBRF-MEGN method and prove that the algorithm deduces all of the exact solutions of the most parsimonious SDGs consistent with expression profiles of gene deletion mutants.
CONCLUSIONS: The DBRF-MEGN method provides all of the exact solutions of the most parsimonious SDGs consistent with expression profiles of gene deletion mutants.

Entities:  

Year:  2011        PMID: 21699737      PMCID: PMC3152880          DOI: 10.1186/1751-0473-6-12

Source DB:  PubMed          Journal:  Source Code Biol Med        ISSN: 1751-0473


  28 in total

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Authors:  T E Ideker; V Thorsson; R M Karp
Journal:  Pac Symp Biocomput       Date:  2000

2.  Functional discovery via a compendium of expression profiles.

Authors:  T R Hughes; M J Marton; A R Jones; C J Roberts; R Stoughton; C D Armour; H A Bennett; E Coffey; H Dai; Y D He; M J Kidd; A M King; M R Meyer; D Slade; P Y Lum; S B Stepaniants; D D Shoemaker; D Gachotte; K Chakraburtty; J Simon; M Bard; S H Friend
Journal:  Cell       Date:  2000-07-07       Impact factor: 41.582

3.  Inferring subnetworks from perturbed expression profiles.

Authors:  D Pe'er; A Regev; G Elidan; N Friedman
Journal:  Bioinformatics       Date:  2001       Impact factor: 6.937

4.  How to reconstruct a large genetic network from n gene perturbations in fewer than n(2) easy steps.

Authors:  A Wagner
Journal:  Bioinformatics       Date:  2001-12       Impact factor: 6.937

5.  Discrimination of direct and indirect interactions in a network of regulatory effects.

Authors:  Achim Tresch; T Beissbarth; H Sültmann; R Kuner; A Poustka; A Buness
Journal:  J Comput Biol       Date:  2007-11       Impact factor: 1.479

6.  Systematic genetic analysis with ordered arrays of yeast deletion mutants.

Authors:  A H Tong; M Evangelista; A B Parsons; H Xu; G D Bader; N Pagé; M Robinson; S Raghibizadeh; C W Hogue; H Bussey; B Andrews; M Tyers; C Boone
Journal:  Science       Date:  2001-12-14       Impact factor: 47.728

7.  Quantitative monitoring of gene expression patterns with a complementary DNA microarray.

Authors:  M Schena; D Shalon; R W Davis; P O Brown
Journal:  Science       Date:  1995-10-20       Impact factor: 47.728

8.  TRANSWESD: inferring cellular networks with transitive reduction.

Authors:  Steffen Klamt; Robert J Flassig; Kai Sundmacher
Journal:  Bioinformatics       Date:  2010-07-06       Impact factor: 6.937

9.  Genetic reconstruction of a functional transcriptional regulatory network.

Authors:  Zhanzhi Hu; Patrick J Killion; Vishwanath R Iyer
Journal:  Nat Genet       Date:  2007-04-08       Impact factor: 38.330

10.  Enriching for direct regulatory targets in perturbed gene-expression profiles.

Authors:  Susannah G Tringe; Andreas Wagner; Stephanie W Ruby
Journal:  Genome Biol       Date:  2004-03-30       Impact factor: 13.583

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