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> Search Results: ( (keyword:"neutral network"))
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Publication Type
Abstract (2)
Year
2021 (2)
Topic
Deep Learning (2)
Artificial Intelligence (1)
Codon (1)
Codon Usage (1)
Gene Expression (1)
High-Throughput Nucleotide Sequencing (1)
Machine Learning (1)
Medical Oncology (1)
Multifactor Dimensionality Reduction (1)
Precision Medicine (1)
Synthetic Biology (1)
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Name
Evans, Nathaniel (1)
Jain, Rishab (1)
McWeeney, Shannon (1)
Collection
Research Week (2)
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Publication Type
Abstract (2)
Year
2021 (2)
Topic
Deep Learning (2)
Artificial Intelligence (1)
Codon (1)
Codon Usage (1)
Gene Expression (1)
High-Throughput Nucleotide Sequencing (1)
Machine Learning (1)
Medical Oncology (1)
Multifactor Dimensionality Reduction (1)
Precision Medicine (1)
Synthetic Biology (1)
Show more
Name
Evans, Nathaniel (1)
Jain, Rishab (1)
McWeeney, Shannon (1)
Collection
Research Week (2)
OHSU
2
records found
Search took 0.33 seconds.
1.
PDF
Jain-Rishab-OHSU-ResearchWeek-2021
Codonify: a recurrent-neural-network based codon optimization tool to improve protein expression
Jain, Rishab
Designing synthetic genes for heterologous expression is a keystone of synthetic biology. In protein sequences - as there are 61 sense codons but only 20 standard amino a [...]
2021
|
Abstract
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2.
PDF
Evans-Nathaniel-OHSU-ResearchWeek-2021
Creating interpretable and informative low-dimensional representations of cell-state from sequencing data using visible neural network variationa[...]
Evans, Nathaniel
;
McWeeney, Shannon
Next generation sequencing (NGS) and single-cell sequencing technologies have enabled unparalleled resolution of the cell's molecular machinery; however, gleaning accurat [...]
2021
|
Abstract
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Detailed record
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