Hill, LaPan, Li and Haney (2007) develop models to predict which cells in a high content screen were well segmented.
The data consists of 119 imaging measurements on 2019. The original analysis used 1009 for training and 1010 as a test set (see the column called
The outcome class is contained in a factor variable called
Class with levels "PS" for poorly segmented and "WS" for well segmented.
A pre-processed version of these data can be found in the caret package.
data frame of cells
Hill, LaPan, Li and Haney (2007). Impact of image segmentation on high-content screening data quality for SK-BR-3 cells, BMC Bioinformatics, Vol. 8, pg. 340, http://www.biomedcentral.com/1471-2105/8/340.
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