A Classification Updating Procedure Motivated by High Content Screening Data

Jacques, R.M., Fieller, N.R.J. and Ainscow, E.K. (2012) A Classification Updating Procedure Motivated by High Content Screening Data. Journal of Applied Statistics, 39 (1). pp. 189-198. ISSN 0266-4763

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Authors/Creators:
  • Jacques, R.M.
  • Fieller, N.R.J.
  • Ainscow, E.K.
Copyright, Publisher and Additional Information: This is a preprint of an article whose final and definitive form has been published in the Journal of Applied Statistics © Taylor & Francis, 2011. This is the author's version of the work. It is posted here by permission of 'Taylor & Francis' for personal use, not for redistribution. The definitive version was published in the Journal of Applied Statistics 2012; 1, 189-198. doi:10.1080/02664763.2011.580335 (http://dx.doi.org/10.1080/02664763.2011.580335)
Keywords: Classification, Updating Algorithm, High Content Screening Experiments, Batch Learning, Random Forests, Linear Discriminant Analysis, K-Nearest Neighbour
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield)
The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield)
Depositing User: Dr Richard Jacques
Date Deposited: 13 Apr 2012 10:41
Last Modified: 16 Nov 2015 11:49
Published Version: http://dx.doi.org/10.1080/02664763.2011.580335
Status: Published
Publisher: Taylor & Francis
Refereed: Yes
Identification Number: 10.1080/02664763.2011.580335

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