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Applications of deep learning and reinforcement learning to biological data

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Figure

Figure 1 A possible representa- representa-tion of the DL, RL, and deep RL frameworks for biological  appli-cations
Figure 2. Performance comparison of representative DL techniques when applied to Omics data in: predicting splice junction (A), compound-protein interactions (B), and secondary/tertiary structures of proteins (C); analyzing gene expression data, and classi
Figure 3. Performance comparison of some DL and conventional ML techniques when applied to Bioimaging application domain
Figure 4. Performance comparison of representative DL techniques when applied to Medical Imaging
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