Author/Authors :
Zupan، نويسنده , , Bla? and Bratko، نويسنده , , Ivan and Dem?ar، نويسنده , , Janez and Juvan، نويسنده , , Peter and Curk، نويسنده , , Toma? and Bor?tnik، نويسنده , , Urban and Beck، نويسنده , , J.Robert and Halter، نويسنده , , John and Kuspa، نويسنده , , Adam and Shaulsky، نويسنده , , Gad، نويسنده ,
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.
Keywords :
Genetic networks , Bioinformatics , functional genomics , knowledge discovery , Background Knowledge , Abduction
