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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

PDF) Recent Advances of Deep Learning in Bioinformatics and Computational  Biology
PDF) Recent Advances of Deep Learning in Bioinformatics and Computational Biology

Frontiers | An overview of deep learning applications in precocious puberty  and thyroid dysfunction
Frontiers | An overview of deep learning applications in precocious puberty and thyroid dysfunction

Deep Neural Network-Assisted Drug Recommendation Systems for Identifying  Potential Drug–Target Interactions | ACS Omega
Deep Neural Network-Assisted Drug Recommendation Systems for Identifying Potential Drug–Target Interactions | ACS Omega

Comparison of Deep Learning With Multiple Machine Learning Methods and  Metrics Using Diverse Drug Discovery Data Sets | Molecular Pharmaceutics
Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets | Molecular Pharmaceutics

Improved sequence-based prediction of interaction sites in α-helical  transmembrane proteins by deep learning - ScienceDirect
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
Characterization and Identification of Lysine Succinylation Sites based on Deep Learning Method | Scientific Reports

Deep learning in bioinformatics | Briefings in Bioinformatics | Oxford  Academic
Deep learning in bioinformatics | Briefings in Bioinformatics | Oxford Academic

Frontiers | Comparison of a Machine Learning Method and Various Equations  for Estimating Low-Density Lipoprotein Cholesterol in Korean Populations
Frontiers | Comparison of a Machine Learning Method and Various Equations for Estimating Low-Density Lipoprotein Cholesterol in Korean Populations

autoBioSeqpy: A Deep Learning Tool for the Classification of Biological  Sequences | Journal of Chemical Information and Modeling
autoBioSeqpy: A Deep Learning Tool for the Classification of Biological Sequences | Journal of Chemical Information and Modeling

autoBioSeqpy: A Deep Learning Tool for the Classification of Biological  Sequences | Journal of Chemical Information and Modeling
autoBioSeqpy: A Deep Learning Tool for the Classification of Biological Sequences | Journal of Chemical Information and Modeling

PDF) Machine learning meets genome assembly
PDF) Machine learning meets genome assembly

autoBioSeqpy: A Deep Learning Tool for the Classification of Biological  Sequences | Journal of Chemical Information and Modeling
autoBioSeqpy: A Deep Learning Tool for the Classification of Biological Sequences | Journal of Chemical Information and Modeling

gammaBOriS: Identification and Taxonomic Classification of Origins of  Replication in Gammaproteobacteria using Motif-based Machine Learning |  Scientific Reports
gammaBOriS: Identification and Taxonomic Classification of Origins of Replication in Gammaproteobacteria using Motif-based Machine Learning | Scientific Reports

Deep Learning for AI: turning the GPS on
Deep Learning for AI: turning the GPS on

Frontiers | Deep Learning for Predicting Complex Traits in Spring Wheat  Breeding Program
Frontiers | Deep Learning for Predicting Complex Traits in Spring Wheat Breeding Program

The language of proteins: NLP, machine learning & protein sequences -  ScienceDirect
The language of proteins: NLP, machine learning & protein sequences - ScienceDirect

Feature Extraction Approaches for Biological Sequences: A Comparative Study  of Mathematical Models | bioRxiv
Feature Extraction Approaches for Biological Sequences: A Comparative Study of Mathematical Models | bioRxiv

Frontiers | Artificial Intelligence for Cardiac Imaging-Genetics Research
Frontiers | Artificial Intelligence for Cardiac Imaging-Genetics Research

Deep learning models in genomics; are we there yet? - ScienceDirect
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
PARROT is a flexible recurrent neural network framework for analysis of large protein datasets | eLife

Frontiers | A Brief Review on Deep Learning Applications in Genomic Studies
Frontiers | A Brief Review on Deep Learning Applications in Genomic Studies

Full article: Machine learning for epigenetics and future medical  applications
Full article: Machine learning for epigenetics and future medical applications

Frontiers | Applications of machine learning in metabolomics: Disease  modeling and classification
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
Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning - ScienceDirect

Deep learning models in genomics; are we there yet? - ScienceDirect
Deep learning models in genomics; are we there yet? - ScienceDirect

Frontiers | Recent Advances of Deep Learning in Bioinformatics and  Computational Biology
Frontiers | Recent Advances of Deep Learning in Bioinformatics and Computational Biology