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]