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# task-dge-perturbation-prediction 0.1.0 | ||
# task_perturbation_prediction 1.0.0 | ||
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Initial release of the DGE Perturbation Prediction task. Initial components: | ||
Initial release of the Perturbation Prediction task. Initial components: | ||
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* `src/task/process_dataset`: Compute the DGE data from the raw single-cell counts using Limma. | ||
* `src/task/control_methods`: Baseline control methods: sample, ground_truth, zeros, mean_across_celltypes, mean_across_compounds, mean_outcome. | ||
* `src/task/methods`: DGE perturbation prediction methods: random_forest. | ||
* `src/task/metrics`: Evaluation metrics: mean_rowwise_error. | ||
* `src/task/methods`: Perturbation prediction methods: jn_ap_op2, lgc_ensemble, nn_retraining_with_pseudolabels, pyboost, scape, transformer_ensemble. | ||
* `src/task/metrics`: Evaluation metrics: mean_rowwise_error, mean_rowwise_correlation. | ||
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