segmentationOriginal {AppliedPredictiveModeling}R Documentation

Cell Body Segmentation


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 Case).

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,

[Package AppliedPredictiveModeling version 1.1-7 Index]