CytoData-2019 original challenge raw data

All data was originally published in: Breinig et al. Molcular System Biology, 2015<br>The data was re-analyzed from raw images and split into training and validation data.<br>EBImage was used to segement cells and extract features.<br>Segemented cells were cropped. <br><br>Validation cells were anonymyzed.<br>The task was to learn the annotated Mode of action (MOA) or target of the chemcial that each validation cells was treated with after learning from the training cells. MOA is coded by folder name in the image and the "target" column in the csv files.<br>Cells in the same well were targeted by the same chemcial and thus share their MOA. This information can be used to solve the challenge, however the more interesting/challenging part is the classification of MOA from looking at a single cell only.<br><br>Files and rows in feature space data are mapped 1:1 by their barcodes.<br>