Global ETD Search

1	miRNAMatcher: High throughput miRNA discovery using regular expressions obtained via a genetic algorithm. Duvenage, Eugene. January 2008 (has links) <p>In summary there currently exist techniques to discover miRNA however both require many calculations to be performed during the identification limiting their use at a genomic level. Machine learning techniques are currently providing the best results by combining a number of calculated and statistically derived features to identify miRNA candidates, however almost all of these still include computationally intensive secondary-structure calculations. It is the aim of this project to produce a miRNA identification process that minimises and simplifies the number of computational elements required during the identification process.</p> miRNA Gene expression regulation Computational miRNA identification Hairpin structural motifs Secondary structure calculation Machine learning Genetic algorithm Regular expressions Genome scan High throughput.
2	miRNAMatcher: High throughput miRNA discovery using regular expressions obtained via a genetic algorithm. Duvenage, Eugene. January 2008 (has links) <p>In summary there currently exist techniques to discover miRNA however both require many calculations to be performed during the identification limiting their use at a genomic level. Machine learning techniques are currently providing the best results by combining a number of calculated and statistically derived features to identify miRNA candidates, however almost all of these still include computationally intensive secondary-structure calculations. It is the aim of this project to produce a miRNA identification process that minimises and simplifies the number of computational elements required during the identification process.</p> miRNA Gene expression regulation Computational miRNA identification Hairpin structural motifs Secondary structure calculation Machine learning Genetic algorithm Regular expressions Genome scan High throughput.
3	miRNAMatcher: High throughput miRNA discovery using regular expressions obtained via a genetic algorithm Duvenage, Eugene January 2008 (has links) Magister Scientiae - MSc / In summary there currently exist techniques to discover miRNA however both require many calculations to be performed during the identification limiting their use at a genomic level. Machine learning techniques are currently providing the best results by combining a number of calculated and statistically derived features to identify miRNA candidates, however almost all of these still include computationally intensive secondary-structure calculations. It is the aim of this project to produce a miRNA identification process that minimises and simplifies the number of computational elements required during the identification process. / South Africa miRNA Gene expression regulation Computational miRNA identification Hairpin structural motifs Secondary structure calculation Machine learning Genetic algorithm Regular expressions Genome scan High throughput

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