Machine Learning approach to discriminate Saccharomyces cerevisiae yeast cells using sophisticated image features

Mohamed Tleis; Fons J. Verbeek

doi:10.1515/jib-2015-276

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Machine Learning approach to discriminate Saccharomyces cerevisiae yeast cells using sophisticated image features

Mohamed Tleis and Fons J. Verbeek

Published/Copyright: October 18, 2016

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From the journal Journal of Integrative Bioinformatics Volume 12 Issue 3

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Tleis, Mohamed and Verbeek, Fons J.. "Machine Learning approach to discriminate Saccharomyces cerevisiae yeast cells using sophisticated image features" Journal of Integrative Bioinformatics, vol. 12, no. 3, 2015, pp. 44-64. https://doi.org/10.1515/jib-2015-276

Tleis, M. & Verbeek, F. (2015). Machine Learning approach to discriminate Saccharomyces cerevisiae yeast cells using sophisticated image features. Journal of Integrative Bioinformatics, 12(3), 44-64. https://doi.org/10.1515/jib-2015-276

Tleis, M. and Verbeek, F. (2015) Machine Learning approach to discriminate Saccharomyces cerevisiae yeast cells using sophisticated image features. Journal of Integrative Bioinformatics, Vol. 12 (Issue 3), pp. 44-64. https://doi.org/10.1515/jib-2015-276

Tleis, Mohamed and Verbeek, Fons J.. "Machine Learning approach to discriminate Saccharomyces cerevisiae yeast cells using sophisticated image features" Journal of Integrative Bioinformatics 12, no. 3 (2015): 44-64. https://doi.org/10.1515/jib-2015-276

Tleis M, Verbeek F. Machine Learning approach to discriminate Saccharomyces cerevisiae yeast cells using sophisticated image features. Journal of Integrative Bioinformatics. 2015;12(3): 44-64. https://doi.org/10.1515/jib-2015-276

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Published Online: 2016-10-18

Published in Print: 2015-9-1

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Articles in the same Issue

Taxonomic and functional metagenomic analysis of anodic communities in two pilot-scale microbial fuel cells treating different industrial wastewaters
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RetroMine, or how to provide in-depth retrospective studies from Medline in a glance: the hepcidin use-case
Machine Learning approach to discriminate Saccharomyces cerevisiae yeast cells using sophisticated image features
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