Abstract
The subcellular localisation of proteins in living cells is a crucial means for the determination of their function. We propose an approach to realise such a protein localisation based on microscope images. In order to reach this goal, appropriate features are selected. Then, the initial feature set is optimised by a genetic algorithm. The actual classification of possible protein localisations is accomplished by an incremental neural network which not only achieves a very high accuracy, but enables on-line learning, as well.
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Tscherepanow, M., Kummert, F. (2007). Subcellular Localisation of Proteins in Living Cells Using a Genetic Algorithm and an Incremental Neural Network. In: Horsch, A., Deserno, T.M., Handels, H., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2007. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71091-2_3
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DOI: https://doi.org/10.1007/978-3-540-71091-2_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71090-5
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