Bioinformatics | Oncology A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data. November 14, 2018
Bioinformatics | Omics Research YAMDA: thousandfold speedup of EM-based motif discovery using deep learning libraries and GPU. November 14, 2018
Other DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier. November 14, 2018
Other Development and evaluation of a deep learning model for protein-ligand binding affinity prediction. November 14, 2018
Bioinformatics | Enzymology DEEPre: sequence-based enzyme EC number prediction by deep learning. November 13, 2018
Bioinformatics | Molecular Biology DeepMirTar: a deep-learning approach for predicting human miRNA targets. November 8, 2018
Bioinformatics | Molecular Biology LncADeep: an ab initio lncRNA identification and functional annotation tool based on deep learning. November 8, 2018
Bioinformatics | Computational Biology | Genomics LncRNAnet: long non-coding RNA identification using deep learning. November 8, 2018
Bioinformatics | Computational Biology SENSE: Siamese neural network for sequence embedding and alignment-free comparison. October 22, 2018
Other Predicting RNA-protein binding sites and motifs through combining local and global deep convolutional neural networks. October 12, 2018
Bioinformatics | Protein Science | Structural Biology Capturing non-local interactions by long short-term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles, contact numbers and solvent accessibility. June 22, 2018