Bioinformatics – the Machine Learning Approach

Madevska-Bogdanova, Ana (2003) Bioinformatics – the Machine Learning Approach. In: Proceedings of the Fourth Conference on Informatics and Information Technology. Institute of Informatics, Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University in Skopje, Macedonia, Skopje, Macedonia, pp. 88-94. ISBN 9989-668-45-0

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Abstract

Computational analysis of biological sequences – linear descriptions of protein, DNA and RNA molecules has completely changed its character since the late 1980s. The main driving force behind the changes has been the introduction of new, efficient experimental techniques, primarily DNA sequencing that has led to an exponential growth of data. As genome and other sequencing projects continue to advance, the interest progressively switches from the accumulation of data to its interpretation. There are some problems concerning the vast amount of data in the biological databases that has to be taken into account.

Item Type: Book Section
Uncontrolled Keywords: bioinformatics, machine learning, SVM, neural networks
Subjects: International Conference on Informatics and Information Technologies > Artificial Intelligence
Depositing User: Vangel Ajanovski
Date Deposited: 28 Oct 2016 00:15
Last Modified: 28 Oct 2016 00:15
URI: http://eprints.finki.ukim.mk/id/eprint/11029

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