scPair: Boosting single cell multimodal analysis by leveraging single cell atlases and implicit feature selection
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DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.
XitoSBML - the spatial SBML plugin for ImageJ
- sbml
- systems-biology
- spatial-sbml-plugin
- imagej
DeepAEG: A model for predicting cancer drug response based on data enhancement and edge-collaborative update strategies