Titlebook: Applications of Computational Intelligence in Biology; Current Trends and O Tomasz G. Smolinski,Mariofanna G. Milanova,Aboul-E Book 2008 Sp

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Using Machine Vision to Detect Distinctive Behavioral Phenotypes of Thread-shape Microscopic Organisis of many important aspects of nervous system function and development in the nematode such as . (.). Although a large number of distinctive phenotypes can be distinguished by an experienced observer, automatic and precise detection methods have not been systemically addressed. Here we describe a b

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Visualization and Interactive Exploration of Large, Multidimensional Data Setscate experimental results. It is now being used for exploratory analysis where users rapidly determine significant trends and features by working with visual projections of data. A basic workflow is to a) record experimental results or simulate some biological system, b) form hypotheses, c) verify h

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Computational Aspects of Aggregation in Biological Systemsecting groups and find functions ..,…, .. (. < .) from these groups (macrovariables) whose dynamics only depend on the initial state of the macrovariable. For example, the state of a population genetic system can be described by listing the frequencies .. of different genotypes, so that the correspo

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