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.
CITATION STYLE
Tscherepanow, M., & Kummert, F. (2007). Subcellular localisation of proteins in living cells using a genetic algorithm and an incremental neural network. In Informatik aktuell (pp. 11–15). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-540-71091-2_3
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