PDF) Machine learning meets genome assembly
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
Deep learning in bioinformatics | Briefings in Bioinformatics | Oxford Academic
Frontiers | Artificial Intelligence for Cardiac Imaging-Genetics Research
Frontiers | Graph Neural Networks and Their Current Applications in Bioinformatics
Frontiers | Applications of machine learning in metabolomics: Disease modeling and classification
Frontiers | An overview of deep learning applications in precocious puberty and thyroid dysfunction
Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning - ScienceDirect
Characterization and Identification of Lysine Succinylation Sites based on Deep Learning Method | Scientific Reports
Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data | Journal of Proteome Research
Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning - ScienceDirect
Frontiers | Recent Advances of Deep Learning in Bioinformatics and Computational Biology
gammaBOriS: Identification and Taxonomic Classification of Origins of Replication in Gammaproteobacteria using Motif-based Machine Learning | Scientific Reports
autoBioSeqpy: A Deep Learning Tool for the Classification of Biological Sequences | Journal of Chemical Information and Modeling
PARROT is a flexible recurrent neural network framework for analysis of large protein datasets | eLife
A novel hybrid framework for metabolic pathways prediction based on the graph attention network | BMC Bioinformatics | Full Text
PARROT is a flexible recurrent neural network framework for analysis of large protein datasets | eLife
PARROT is a flexible recurrent neural network framework for analysis of large protein datasets | eLife
Frontiers | How Computation Is Helping Unravel the Dynamics of Morphogenesis
PDF) Recent Advances of Deep Learning in Bioinformatics and Computational Biology
Frontiers | Deep Learning for Predicting Complex Traits in Spring Wheat Breeding Program
Frontiers | Deep Learning-Based Protein Features Predict Overall Survival and Chemotherapy Benefit in Gastric Cancer
Frontiers | Comparison of a Machine Learning Method and Various Equations for Estimating Low-Density Lipoprotein Cholesterol in Korean Populations
PDF) Critical assessment and performance improvement of plant-pathogen protein-protein interaction prediction methods
The language of proteins: NLP, machine learning & protein sequences - ScienceDirect
Full article: Machine learning for epigenetics and future medical applications
Feature Extraction Approaches for Biological Sequences: A Comparative Study of Mathematical Models | bioRxiv
