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Bio-medical Ontologies Maintenance and Change Management

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188 I.R. Godínez et al.<br />

localization, which are the two tasks in which the algorithms proposed in this<br />

work are tested.<br />

The topic of associative memories has been an active field of scientific<br />

research for some decades, attracting the attention in some research areas<br />

for the great power they offer, despite the simplicity of their algorithms. The<br />

most important characteristic <strong>and</strong>, at the same time, fundamental purpose<br />

of an associative memory, is to correctly recall whole output patterns from<br />

input patterns, with the possibility of having the latter altered, either by an<br />

additive, substractive, or mixed alteration [4]-[6].<br />

Associative memories, <strong>and</strong> specifically alpha-beta associative memories,<br />

are a powerful computational tool in pattern recognition due to the simplicity<br />

of their algorithms, their strong mathematical foundation, <strong>and</strong> the high<br />

efficacy shown by them in pattern recalling <strong>and</strong> classification.<br />

The rest of this chapter is organized as follows: in section 2 some background<br />

notions are presented, regarding bioinformatics <strong>and</strong> associative memories.<br />

Section 3 is dedicated to the proposed solution to the problems boarded<br />

here, while in section 4 the experimental results are shown. Finally, in section<br />

5, conclusions <strong>and</strong> future work are described.<br />

2 Background Notions<br />

In this section, some basic notions <strong>and</strong> concepts on bioinformatics <strong>and</strong> associative<br />

memories are introduced, in order to better underst<strong>and</strong> the problems<br />

presented in this chapter <strong>and</strong> how we propose to solve them.<br />

2.1 <strong>Bio</strong>informatics<br />

In later decades, the development of genomic technology has caused the generation<br />

of a great amount of data, which in turn gives rise to a greater <strong>and</strong><br />

greater dem<strong>and</strong> of computational resources for its storing, organization, recovering,<br />

<strong>and</strong>, above all, visualization <strong>and</strong> analysis [7].<br />

According to [8], the most recent goal of bioinformatics is to allow the<br />

discovery of new biological elements which help in the creation of a global<br />

perspective from which uniform biological principles can be derived.<br />

2.1.1 Basic Concepts<br />

Deoxyribonucleic acid (DNA) <strong>and</strong> proteins are biological macromolecules<br />

made up of long chains of chemical components. On one h<strong>and</strong>, DNA is made<br />

up of nucleotides, of which there are four: adenine (A), cytosine (C), guanine<br />

(G), <strong>and</strong> thymine (T), denoted by their initials. Also, DNA plays a fundamental<br />

role in different biochemical processes of living organisms, such as<br />

protein synthesis <strong>and</strong> hereditary information transmission from parents to<br />

children [9].

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