C4.5: programs for machine learning
C4.5: programs for machine learning
An Evaluation of Statistical Approaches to Text Categorization
Information Retrieval
Constructing Biological Knowledge Bases by Extracting Information from Text Sources
Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology
Kleisli, a functional query system
Journal of Functional Programming
| Hi-index | 0.00 |
We present the infrastructure of a bioinformation system called BIOMIND, which exploits the close relationship between the structural and functional properties of proteins. The scheme presented here views proteins as composite entities with structural and functional properties, and searches are based on distances along each property axis. Explicitly, this allows one to frame complex queries using quantitative criteria that confer more discerning power than systems based on a text-matching approach. Implicitly, and more importantly, this has the potential to reveal patterns of convergence in properties of proteins and improve our ability to approximate the unknown properties of a protein, given a set of known properties.