James Lyons

Publications by Year

Research Areas

Machine Learning in Bioinformatics, Protein Structure and Dynamics, RNA and protein synthesis mechanisms, Genomics and Phylogenetic Studies, Speech and Audio Processing

Most-Cited Works

• → Improving prediction of secondary structure, local backbone angles and solvent accessible surface area of proteins by iterative deep learning(2015)364 cited
• → Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳s general PseAAC(2014)243 cited
• → SPIDER2: A Package to Predict Secondary Structure, Accessible Surface Area, and Main-Chain Torsional Angles by Deep Neural Networks(2016)177 cited
• → A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition(2012)152 cited
• → Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto‐encoder deep neural network(2014)152 cited
• → Single‐sequence‐based prediction of protein secondary structures and solvent accessibility by deep whole‐sequence learning(2018)126 cited
• → Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins(2015)101 cited
• → SPIN2: Predicting sequence profiles from protein structures using deep neural networks(2018)96 cited
• → Predict Gram-Positive and Gram-Negative Subcellular Localization via Incorporating Evolutionary Information and Physicochemical Features Into Chou's General PseAAC(2015)82 cited
• → A Tri-Gram Based Feature Extraction Technique Using Linear Probabilities of Position Specific Scoring Matrix for Protein Fold Recognition(2014)79 cited