Our two core papers on GenePath are published in Bioinformatics and AIM Journal. The Bioinformatics paper gives a biologically-inspired description of GenePath, and focuses on formalization of the reasoning process in classical genetics. The AIM Journal paper focuses on methodology and Artificial Intelligence aspects, and it describes our first attempts to reverse the reasoning patterns for proposal of experiments. We have yet to cover some new features implemented in the most recent version of GenePath which is available on the net.
 Zupan B, Bratko I, Demsar J, Juvan P, Halter JA, Kuspa A, Shaulsky G: GenePath: a system for automated construction of genetic networks from mutant data. In Bioinformatics 19(3), pp.383-389, 2003.
 Zupan B, Bratko I, Demsar J, Juvan P, Curk T, Borstnik U, Beck JR, Halter J, Kuspa A, Shaulsky G: GenePath: a system for inference of genetic networks and proposal of genetic experiments. In Artificial Intelligence in Medicine 29(1-2), pp.107-130, 2003.
Following are also some early papers published as abstracts or in conference proceedings:
 Demsar J, Zupan B, Bratko I, Kuspa A, Halter J A, Beck J R, Shaulsky G: GenePath: A Computer Program for Genetic Pathway Discovery from Mutant Data. In Proc. Medinfo2001 (in press), London, UK, 2001.
 Zupan B, Juvan P, Demsar J, Bratko I, Halter J A, Kuspa A, Shaulsky G: GenePath: An Intelligent Assistant for Genetic Data Analysis and Pathway Discovery. An Abstract Presented at Dicty-2001, San Diego, CA, 2001.
 Juvan P, Zupan B, Demsar J, Bratko I, Halter J A, Kuspa A, Shaulsky G: Web-Enabled Knowledge-Based Analysis of Genetic Data. In Proc. International Symposium on Medical Data Analysis, Madrid, Spain, 2001.
Disclaimer: We are making the pre-prints of the papers available in PDF. Due to copyright restrictions, please refer to the journal sites for the final manuscripts.