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We have implemented an iterative algorithm for the identification of diagnostic patterns from sets of multiple-domain proteins, where domains need not be common to all the proteins in the defining set. Our algorithm was applied to sequences gathered using a variety of methods, including BLAST, common keywords, and common E.C. numbers. In all cases, useful(More)
Building a Unified Data Mining Engine (UDME) is not an easy exercise, specifically, when several factors can undermine their quality success, such as cost, time, and lack of systematic approaches. We would like to architect and develop a UDME, that has the some or all of the following properties: 1. Ease of use, 2. No Need of Expert to run the tool 3. Easy(More)
The main purpose of this paper is to extract and document the core knowledge of visualization, as an analysis pattern that provides a recurring and viable solution for the problem of visualization in any domain, and in any of its several applications. Now, people use the concept of visualization in every other field of study as an effective communication(More)
We present a prior-based profile method for the prediction of protein-protein interaction partners that is here applied to the nuclear receptor superfamily. In this method, the diagnostic features are locally encoded in the physicochemical properties of residues in the interaction surface that are conserved in all proteins belonging to the defining set. The(More)
The main goal of this paper is to extract and document the core knowledge of the classification technique, as an analysis pattern that is usable in many different applications, where classification concept is required, rather than repeatedly building the concept from its scratch. The motivation behind the development of this pattern is to write a generic(More)