Reinforced Adversarial Neural Computer for de Novo Molecular Design | Journal of Chemical Information and Modeling
Frontiers | Deep Learning-Based Protein Features Predict Overall Survival and Chemotherapy Benefit in Gastric Cancer
PARROT is a flexible recurrent neural network framework for analysis of large protein datasets | eLife
Frontiers | Deep Learning for Predicting Complex Traits in Spring Wheat Breeding Program
autoBioSeqpy: A Deep Learning Tool for the Classification of Biological Sequences | Journal of Chemical Information and Modeling
Deep learning models in genomics; are we there yet? - ScienceDirect
PARROT is a flexible recurrent neural network framework for analysis of large protein datasets | eLife
Deep learning in bioinformatics | Briefings in Bioinformatics | Oxford Academic
The language of proteins: NLP, machine learning & protein sequences - ScienceDirect
Frontiers | Comparison of a Machine Learning Method and Various Equations for Estimating Low-Density Lipoprotein Cholesterol in Korean Populations
Frontiers | Recent Advances of Deep Learning in Bioinformatics and Computational Biology
Frontiers | Applications of machine learning in metabolomics: Disease modeling and classification
Feature Extraction Approaches for Biological Sequences: A Comparative Study of Mathematical Models | bioRxiv
PDF) Critical assessment and performance improvement of plant-pathogen protein-protein interaction prediction methods
Frontiers | Artificial Intelligence for Cardiac Imaging-Genetics Research
PARROT is a flexible recurrent neural network framework for analysis of large protein datasets | eLife
Deep learning models in genomics; are we there yet? - ScienceDirect
Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning - ScienceDirect
A novel hybrid framework for metabolic pathways prediction based on the graph attention network | BMC Bioinformatics | Full Text
Predicting Drug-Induced Liver Injury Using Convolutional Neural Network and Molecular Fingerprint-Embedded Features | ACS Omega
Deep Learning for AI: turning the GPS on
PDF) Machine learning meets genome assembly
Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning - ScienceDirect
Frontiers | How Computation Is Helping Unravel the Dynamics of Morphogenesis
