The language of proteins: NLP, machine learning & protein sequences - ScienceDirect
Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data | Journal of Proteome Research
Frontiers | A Brief Review on Deep Learning Applications in Genomic Studies
PDF) Recent Advances of Deep Learning in Bioinformatics and Computational Biology
Improving Clinical Prediction of Later Occurrence of Breast Cancer Metastasis Using Deep Learning and Machine Learning with Grid
Frontiers | Deep Learning-Based Protein Features Predict Overall Survival and Chemotherapy Benefit in Gastric Cancer
Applications for deep learning in ecology - Christin - 2019 - Methods in Ecology and Evolution - Wiley Online Library
PARROT is a flexible recurrent neural network framework for analysis of large protein datasets | eLife
Opportunities and obstacles for deep learning in biology and medicine: 2019 update
gammaBOriS: Identification and Taxonomic Classification of Origins of Replication in Gammaproteobacteria using Motif-based Machine Learning | Scientific Reports
Full article: Machine learning for epigenetics and future medical applications
Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning - ScienceDirect
Integrated omics: tools, advances and future approaches in: Journal of Molecular Endocrinology Volume 62 Issue 1 (2019)
Accelerating the design and development of polymeric materials via deep learning: Current status and future challenges: APL Machine Learning: Vol 1, No 2
PARROT is a flexible recurrent neural network framework for analysis of large protein datasets | eLife
Data Integration Using Advances in Machine Learning in Drug Discovery and Molecular Biology | SpringerLink
autoBioSeqpy: A Deep Learning Tool for the Classification of Biological Sequences | Journal of Chemical Information and Modeling
Multiset sparse partial least squares path modeling for high dimensional omics data analysis | BMC Bioinformatics | Full Text
Improving Clinical Prediction of Later Occurrence of Breast Cancer Metastasis Using Deep Learning and Machine Learning with Grid
Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning - ScienceDirect
Opportunities and Obstacles For Deep Learning in Biology and Medicine | PDF | Deep Learning | Artificial Neural Network
Frontiers | Graph Neural Networks and Their Current Applications in Bioinformatics
Predicting Drug-Induced Liver Injury Using Convolutional Neural Network and Molecular Fingerprint-Embedded Features | ACS Omega
