Classification performance based on HELP labelling.
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posted on 2024-09-27, 17:36 authored by Ilaria Granata, Lucia Maddalena, Mario Manzo, Mario Rosario Guarracino, Maurizio GiordanoBox plots of the performance metrics obtained for classification “E vs NE” using different sets of features on Kidney, Lung, Brain tissues and Human.
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true positive ratespredictive models trainedpredicting human commondouble scope allowsl uh ue upredicting essential genesidentifying essential genesdiv >< pidentifying genes basedessential gene annotationsessential gene annotationnetwork embedding featuresp unew experimental dataessential genesexperimental datauman genegene essentialitygene attributessource datareference setsrediction ),performance predictionparticularly suitableneither binarymachine learningcomputational frameworkbest compromisebased approaches
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