Predicting Drug-Induced Liver Injury Using Convolutional Neural Network and Molecular Fingerprint-Embedded Features | ACS Omega
Frontiers | Deep Learning-Based Structure-Activity Relationship Modeling for Multi-Category Toxicity Classification: A Case Study of 10K Tox21 Chemicals With High-Throughput Cell-Based Androgen Receptor Bioassay Data
Frontiers | Artificial Intelligence for Cardiac Imaging-Genetics Research
Deep Neural Network-Assisted Drug Recommendation Systems for Identifying Potential Drug–Target Interactions | ACS Omega
Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data | Journal of Proteome Research
The language of proteins: NLP, machine learning & protein sequences - ScienceDirect
Deep Learning for AI: turning the GPS on
Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning - ScienceDirect
Frontiers | An overview of deep learning applications in precocious puberty and thyroid dysfunction
PARROT is a flexible recurrent neural network framework for analysis of large protein datasets | eLife
PDF) Critical assessment and performance improvement of plant-pathogen protein-protein interaction prediction methods
PDF) Machine learning meets genome assembly
autoBioSeqpy: A Deep Learning Tool for the Classification of Biological Sequences | Journal of Chemical Information and Modeling
PDF) Recent Advances of Deep Learning in Bioinformatics and Computational Biology
Deep learning in bioinformatics | Briefings in Bioinformatics | Oxford Academic
Frontiers | How Computation Is Helping Unravel the Dynamics of Morphogenesis
Frontiers | Applications of machine learning in metabolomics: Disease modeling and classification
Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning - ScienceDirect
Reinforced Adversarial Neural Computer for de Novo Molecular Design | Journal of Chemical Information and Modeling
Characterization and Identification of Lysine Succinylation Sites based on Deep Learning Method | Scientific Reports
Frontiers | Graph Neural Networks and Their Current Applications in Bioinformatics
Frontiers | Recent Advances of Deep Learning in Bioinformatics and Computational Biology
