Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction
Omid Bazgir,
Souparno Ghosh,
Ranadip Pal
Abstract:Anti-cancer drug sensitivity prediction using deep learning models for individual cell line is a significant challenge in personalized medicine. REFINED (REpresentation of Features as Images with NEighborhood Dependencies) CNN (Convolutional Neural Network) based models have shown promising results in drug sensitivity prediction. The primary idea behind REFINED CNN is representing high dimensional vectors as compact images with spatial correlations that can benefit from convolutional neural network architectur… Show more
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