segmentationOriginal {AppliedPredictiveModeling} | R Documentation |
Cell Body Segmentation
Description
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.
Usage
data(segmentationOriginal)
Value
segmentationOriginal |
data frame of cells |
Source
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.
[Package AppliedPredictiveModeling version 1.1-7 Index]