Machine Learning for the Biochemical Genetics Laboratory

Genetics-Based Machine Learning

This is a survey of the field of Genetics-based Machine Learning (GBML): the application of evolutionary algorithms to machine learning. We assume readers are familiar with evolutionary algorithms and their application to optimisation problems, but not necessarily with machine learning. We briefly outline the scope of machine learning, introduce the more specific area of supervised learning, co...

Three-objective genetics-based machine learning for linguistic rule extraction

This paper shows how a small number of linguistically interpretable fuzzy rules can be extracted from numerical data for high-dimensional pattern classi®cation problems. One diculty in the handling of high-dimensional problems by fuzzy rule-based systems is the exponential increase in the number of fuzzy rules with the number of input variables. Another diculty is the deterioration in the com...

Biochemical Genetics

WVith improvements in and the lowering costs of photographic methods, light and electron photomicrography have become indispensable for the spread of biomedically related knowledge. Now color photomicrography is within the range of most laboratory budgets, but to my knowledge there has been no comprehensive practical guidebook on color techniques. This book attempts to fill the need. Unfortunat...

Biochemical genetics.

The field under review is growing so rapidly that it is impossible to cover more than a sampling of recent, papers in the allotted space. Important subjects such as the genetics and chemistry of viruses and certain topics in baeterlal genetics have had to be omitted, while others have not reeelved the treatment they deserve. Studies of a primarily biochemical nature in which mutants have been e...

The Biochemical Standardization Laboratory