Construction of electronic repositories of metabolic information is an increasingly active area of research. Encoding detailed knowledge of a complex biological domain requires ï¬...
Wepropose in this paper a modularlearning environmentfor proteinmodeling.In this system,the protein modelingproblemis tackledin twosuccessive phases. First, partial structural inf...
Manymethods for analyzing biological problems are constrained by problemsize. Theability to distinguish betweenrelevant andirrelevant features of a problemmay allowa problemto be ...
Wesurvey and discuss issues required of intelligent systems to support research efforts in locus mapping. In particular wefocus on the issues of order, on howone can automate the ...
Wehave recently described a method based on Artificial Neural Networksto cluster protein sequences into families. The network was trained with Kohonen’s unsupervised-learning al...
In the field of biotechnologyand medicineit is of interest to modeland simulate metabolicprocesses. The usual methods to model metabolic pathwaysare chemicaldescriptions anddiffer...
There is no automatic mechanism to integrate information between heterogeneous genome maps. Currently, integration is a di cult, manual process. We have developed a process for kn...
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...