Abstract
Discovering the molecular targets of compounds or the cause of physiological conditions, among the multitude of known genes, is one of the major challenges of bioinformatics. Our approach has the advantage of not needing control samples, libraries or numerous assays. The so far proposed implementations of this strategy are computationally demanding. Our solution, while performing comparably to state of the art algorithms in terms of discovered targets, is more efficient in terms of memory and time consumption.
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Bevilacqua, V., Pannarale, P. (2012). Efficient Mode of Action Identification by Support Vector Machine Regression. In: Huang, DS., Gupta, P., Zhang, X., Premaratne, P. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2012. Communications in Computer and Information Science, vol 304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31837-5_28
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DOI: https://doi.org/10.1007/978-3-642-31837-5_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31836-8
Online ISBN: 978-3-642-31837-5
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