Abstract: An electronic computing system configured to process a plurality of data elements by performing operations including obtaining information indicative of features of data elements; generating training data for a machine learning engine with the features of the data elements; initializing the machine learning engine with the training data; processing the data elements with the machine learning engine; iteratively updating a model of the data elements based on the processing; and displaying a visual representation of the data elements in accordance with the updated model.

Abstract: A method performed by one or more processing devices includes obtaining information indicative of experiments associated with combinations of targets and compounds; initializing the information with a result of at least one of the experiments; generating, based on initializing, a model to predict effects of the compounds on the targets; generating, based on the model and the experiments obtained, predictions for experiments to be executed; selecting, based on the predictions, one or more experiments from the experiments to be executed; executing the one or more experiments; and updating the model with one or more results of execution of the one or more experiments.