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| Deep learning algorithm | Medical image analysis | Protein structure prediction | Genomic sequencing and gene expression analysis |
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| Convolutional neural network | Brain tumour segmentation, knee cartilage segmentation, prediction of semantic descriptions from medical images, segmentation of MR brain images, coronary artery calcium scoring in CT images | Prediction of protein order/disorder regions, prediction of protein secondary structures, prediction of protein structure properties | — |
| Sparse autoencoder | Organ detection in 4D patient data, segmentation of hippocampus from infant brains, histological characterization of healthy skin and healing wounds | Sequence-based prediction of backbone Cα angles and dihedrals | — |
| Deep belief network | Segmentation of left ventricle of the heart from MR data, discrimination of retinal-based diseases | Prediction of protein disorder, prediction of secondary structures, local backbone angles | Modelling structural binding preferences and predicting binding sites of RNA-binding proteins, prediction of splice junction at DNA level |
| Deep neural network | Brain tumour segmentation in MR images, prostate MR segmentation, gland instance segmentation | — | Gene expression inference, prediction of enhancer, prediction of splicing patterns in individual tissues and differences in splicing patterns across tissues |
| Recurrent neural network | Classification of patterns of EEG synchronization for seizure prediction, EEG-based lapse detection | Prediction of protein secondary structure, prediction of protein contact map | Prediction of miRNA precursor and miRNA targets, detection of splice junctions from DNA sequences |
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