The language of proteins: NLP, machine learning & protein sequences - ScienceDirect
Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning - ScienceDirect
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
Frontiers | Recent Advances of Deep Learning in Bioinformatics and Computational Biology
Frontiers | Applications of machine learning in metabolomics: Disease modeling and classification
Characterization and Identification of Lysine Succinylation Sites based on Deep Learning Method | Scientific Reports
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 | Artificial Intelligence for Cardiac Imaging-Genetics Research
Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning - ScienceDirect
Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data | Journal of Proteome Research
gammaBOriS: Identification and Taxonomic Classification of Origins of Replication in Gammaproteobacteria using Motif-based Machine Learning | Scientific Reports
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
Deep learning in bioinformatics | Briefings in Bioinformatics | Oxford Academic
PDF) Recent Advances of Deep Learning in Bioinformatics and Computational Biology
PARROT is a flexible recurrent neural network framework for analysis of large protein datasets | eLife
Deep Neural Network-Assisted Drug Recommendation Systems for Identifying Potential Drug–Target Interactions | ACS Omega
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
Frontiers | Deep Learning for Predicting Complex Traits in Spring Wheat Breeding Program
Full article: Machine learning for epigenetics and future medical applications
Reinforced Adversarial Neural Computer for de Novo Molecular Design | Journal of Chemical Information and Modeling
PARROT is a flexible recurrent neural network framework for analysis of large protein datasets | eLife
Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets | Molecular Pharmaceutics
