ODNN
(https://github.com/BooneAndrewsLab/ODNN.git)
- Scripts for data pre-processing, running supervised two hidden-layer fully connected
neural network for single cell classification, and penetrance calculation
- Used in "Exploring endocytic compartment morphology with systematic genetics and single cell image
analysis" by Mattiazzi Usaj et al.
One-Class SVM
(https://github.com/BooneAndrewsLab/ocSVM.git)
- Outlier Detection with One-Class SVM
- Used in "Exploring endocytic compartment morphology with systematic genetics and single cell image
analysis" by Mattiazzi Usaj et al.
Single Cell Labeling Tool
(https://github.com/BooneAndrewsLab/singlecelltool)
- Custom-made graphical user interface (GUI) application that allows users to view and label single cell
images in a grid layout. Users can save a phenotype for each cell and then export the data.
- Used in "Exploring endocytic compartment morphology with systematic genetics and single cell image
analysis" by Mattiazzi Usaj et al.
DeepLoc
(https://github.com/okraus/DeepLoc)
- Contains the code, pretrained models, and datasets for the paper: "Automated analysis of high-content
microscopy data with deep learning" Kraus, O.Z., Grys, B.T., Ba, J., Chong, Y., Frey, B.J., Boone, C.,
Andrews, B.J. Molecular Systems Biology 13.4 (2017): 924.
http://msb.embopress.org/content/13/4/924