Improving Clinical Prediction of Later Occurrence of Breast Cancer Metastasis Using Deep Learning and Machine Learning with Grid
Frontiers | A Brief Review on Deep Learning Applications in Genomic Studies
The language of proteins: NLP, machine learning & protein sequences - ScienceDirect
Opportunities and Obstacles For Deep Learning in Biology and Medicine | PDF | Deep Learning | Artificial Neural Network
Characterization and Identification of Lysine Succinylation Sites based on Deep Learning Method | Scientific Reports
PDF) Recent Advances of Deep Learning in Bioinformatics and Computational Biology
A Bird's-Eye View of Deep Learning in Bioimage Analysis
Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning - ScienceDirect
Improving Clinical Prediction of Later Occurrence of Breast Cancer Metastasis Using Deep Learning and Machine Learning with Grid
Full article: Machine learning for epigenetics and future medical applications
Multiset sparse partial least squares path modeling for high dimensional omics data analysis | BMC Bioinformatics | Full Text
A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists - Shen - 2018 - Water Resources Research - Wiley Online Library
Applications for deep learning in ecology - Christin - 2019 - Methods in Ecology and Evolution - Wiley Online Library
gammaBOriS: Identification and Taxonomic Classification of Origins of Replication in Gammaproteobacteria using Motif-based Machine Learning | Scientific Reports
Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning - ScienceDirect
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Frontiers | iEnhancer-DCSV: Predicting enhancers and their strength based on DenseNet and improved convolutional block attention module
Frontiers | Applications of machine learning in metabolomics: Disease modeling and classification
Mozilla PDF | PDF | Deep Learning | Bioinformatics
autoBioSeqpy: A Deep Learning Tool for the Classification of Biological Sequences | Journal of Chemical Information and Modeling
G2Vec: Distributed gene representations for identification of cancer prognostic genes | Scientific Reports
PARROT is a flexible recurrent neural network framework for analysis of large protein datasets | eLife
Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data | Journal of Proteome Research
Text mining-based word representations for biomedical data analysis and protein-protein interaction networks in machine learning
Convolutional neural networks (CNNs): concepts and applications in pharmacogenomics | SpringerLink
Frontiers | Recent Advances of Deep Learning in Bioinformatics and Computational Biology
Frontiers | Deep Learning-Based Protein Features Predict Overall Survival and Chemotherapy Benefit in Gastric Cancer
