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mantis-ml: Stochastic semi-supervised learning to prioritise genes from high throughput genomic screens

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Hello The existing code for handling processes in: - mantis_ml/modules/supervised_learn/model_selection/benchmark_all_classifiers.py - mantis_ml/modules/supervised_learn/feature_selection/run_boruta.py - mantis_ml/modules/supervised_learn/model_selection/dnn_grid_search_cv.py - mantis_ml/modules/supervised_learn/pu_learn/pu_learning.py Looks something like: ``` procs = [] for i in range(len(train_data)): p = Process(train_data[i],...