result of gears_model.GI_predict: ['mag', 'dcor', 'corr_fit', 'dominance', 'eq_contr']

snap-stanford / GEARS

GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations

MIT License

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result of gears_model.GI_predict: ['mag', 'dcor', 'corr_fit', 'dominance', 'eq_contr'] #59

Closed yanwuanxin closed 5 months ago

yanwuanxin commented 5 months ago

result of gears_model.GI_predict contain 'mag', 'dcor', 'corr_fit', 'dominance', 'eq_contr', legend of Figure5b of paper are Synergy/ Suppression/ Neomorphism/ Epistasis/ Redundancy, how did they match?

yhr91 commented 5 months ago

Please see SI Note 16 in the paper