Literature DB >> 12957783

GenePath: a system for inference of genetic networks and proposal of genetic experiments.

Blaz Zupan1, Ivan Bratko, Janez Demsar, Peter Juvan, Tomaz Curk, Urban Borstnik, J Robert Beck, John Halter, Adam Kuspa, Gad Shaulsky.   

Abstract

A genetic network is a formalism that is often used in biology to represent causalities and reason about biological phenomena related to genetic regulation. We present GenePath, a computer-based system that supports the inference of genetic networks from a set of genetic experiments. Implemented in Prolog, GenePath uses abductive inference to elucidate network constraints based on background knowledge and experimental results. Additionally, it can propose genetic experiments that may further refine the discovered network and establish relations between genes that could not be related based on the original experimental data. We illustrate GenePath's approach and utility on analysis of data on aggregation and sporulation of the soil amoeba Dictyostelium discoideum.

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Year:  2003        PMID: 12957783     DOI: 10.1016/s0933-3657(03)00048-4

Source DB:  PubMed          Journal:  Artif Intell Med        ISSN: 0933-3657            Impact factor:   5.326


  3 in total

1.  HyQue: evaluating hypotheses using Semantic Web technologies.

Authors:  Alison Callahan; Michel Dumontier; Nigam H Shah
Journal:  J Biomed Semantics       Date:  2011-05-17

2.  GenePath: from mutations to genetic networks and back.

Authors:  Peter Juvan; Janez Demsar; Gad Shaulsky; Blaz Zupan
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

3.  An evidence-based approach to identify aging-related genes in Caenorhabditis elegans.

Authors:  Alison Callahan; Juan José Cifuentes; Michel Dumontier
Journal:  BMC Bioinformatics       Date:  2015-02-07       Impact factor: 3.169

  3 in total

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