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Predicting correct serotypes using machine-learning models based on codon usage patterns of influenza A viruses

https://doi.org/10.1101/528083
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How do synonymous mutations affect fitness?
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Evolution and Ecology of Influenza A Viruses
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Orthomyxovirus Replication, Transcription, and Polyadenylation
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Multinomial logistic regression algorithm
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Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
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A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences
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Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions
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A multi-layer feed forward neural network model for accurate prediction of flue gas sulfuric acid dew points in process industries
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Incorporating PCA and fuzzy-ART techniques into achieve organism classification based on codon usage consideration
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Analysis of codon usage preference in hemagglutinin genes of the swine-origin influenza A (H1N1) virus
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Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications
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3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study
inferredcites →https://doi.org/10.1016/s0959-437x(02)00353-2openalex-snapshot
Evolution of synonymous codon usage in metazoans
inferredcites →https://doi.org/10.1017/s0950268815001570openalex-snapshot
The pandemic potential of avian influenza A(H7N9) virus: a review
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Analysis of a complex of statistical variables into principal components.
inferredcites →https://doi.org/10.1038/nature08182openalex-snapshot
Origins and evolutionary genomics of the 2009 swine-origin H1N1 influenza A epidemic
inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot
Deep learning
inferredcites →https://doi.org/10.1038/nrg1770openalex-snapshot
Hearing silence: non-neutral evolution at synonymous sites in mammals
inferredcites →https://doi.org/10.1038/nrg2899openalex-snapshot
Synonymous but not the same: the causes and consequences of codon bias
inferredcites →https://doi.org/10.1038/srep27755openalex-snapshot
Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence
inferredcites →https://doi.org/10.1056/nejmoa044021openalex-snapshot
Probable Person-to-Person Transmission of Avian Influenza A (H5N1)
inferredcites →https://doi.org/10.1089/cmb.2009.0046openalex-snapshot
Categorizing Host-Dependent RNA Viruses by Principal Component Analysis of Their Codon Usage Preferences
inferredcites →https://doi.org/10.1090/amsip/042.2/23openalex-snapshot
Step-sizes for the gradient method
inferredcites →https://doi.org/10.1093/bib/bbk007openalex-snapshot
Machine learning in bioinformatics
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Deep learning in bioinformatics
inferredcites →https://doi.org/10.1093/genetics/129.3.897openalex-snapshot
The selection-mutation-drift theory of synonymous codon usage.
inferredcites →https://doi.org/10.1093/nar/14.19.7737openalex-snapshot
Codon usage in regulatory genes in Escherichia coli does not reflect selection for ‘rare’ codons
inferredcites →https://doi.org/10.1093/nar/8.1.197-copenalex-snapshot
Codon catalog usage and the genome hypothesis
inferredcites →https://doi.org/10.1093/nar/8.9.1893openalex-snapshot
Codon frequencies in 119 individual genes confirm corsistent choices of degenerate bases according to genome type
inferredcites →https://doi.org/10.1098/rstb.1995.0108openalex-snapshot
DNA sequence evolution: the sounds of silence
inferredcites →https://doi.org/10.1109/tpami.2012.231openalex-snapshot
Learning Hierarchical Features for Scene Labeling
inferredcites →https://doi.org/10.1109/tpami.2012.59openalex-snapshot
3D Convolutional Neural Networks for Human Action Recognition
inferredcites →https://doi.org/10.1128/jvi.02005-07openalex-snapshot
The Influenza Virus Resource at the National Center for Biotechnology Information
inferredcites →https://doi.org/10.1136/bmj.3.5769.308openalex-snapshot
Hong Kong 68 variant of influenza A2.
inferredcites →https://doi.org/10.1146/annurev.genet.42.110807.091442openalex-snapshot
Selection on Codon Bias
inferredcites →https://doi.org/10.1146/annurev.med.51.1.407openalex-snapshot
Global Epidemiology of Influenza: Past and Present
inferredcites →https://doi.org/10.1148/radiol.2017171734openalex-snapshot
From Images to Actions: Opportunities for Artificial Intelligence in Radiology
inferredcites →https://doi.org/10.1155/2017/3781951openalex-snapshot
Involvement of Machine Learning for Breast Cancer Image Classification: A Survey
inferredcites →https://doi.org/10.1155/2018/7068349openalex-snapshot
Deep Learning for Computer Vision: A Brief Review
inferredcites →https://doi.org/10.1214/12-aos1000openalex-snapshot
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions
inferredcites →https://doi.org/10.1371/journal.pone.0154376openalex-snapshot
Revelation of Influencing Factors in Overall Codon Usage Bias of Equine Influenza Viruses
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.4014/jmb.1605.05016openalex-snapshot
Insights into the Usage of Nucleobase Triplets and Codon Context Pattern in Five Influenza A Virus Subtypes
inferredcites →https://doi.org/10.48550/arxiv.1704.04861openalex-snapshot
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
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