genetics

Genetic Algorithms for Optimization of Machine-learning Models and their Applications in Bioinformatics

Arturo Magana Mora, Ph.D., Computer Science

Apr 10, 13:00 - 15:00

B3 L5 R5209

machine learning data mining biology genetics bioinformatics

Abstract Machine-learning (ML) techniques have been widely applied to solve different problems in biology. However, biological data are large and complex, which often results in extremely intricate ML models. Frequently, these models may have poor performance or may be computationally unfeasible. This study presents a set of novel computational methods and focuses on the application of genetic algorithms (GAs) for the simplification and optimization of ML models and their applications to biological problems. The dissertation addresses the following three challenges. The first challenge is

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applied mathematics Computer science genomics genetics

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Computer science bioscience genetics

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