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NT5DC3 gene

Known as: TU12B1-TY, FLJ11266, GNN 
 
National Institutes of Health

Papers overview

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2019
2019
Graph Neural Networks (GNNs) are a powerful tool for machine learning on graphs. GNNs combine node feature information with the… Expand
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2013
2013
Hybridization of neural networks and fuzzy sets has proved its efficiency in solving different pattern classification tasks… Expand
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2009
2009
Rift Valley fever virus (RVFV) (genus Phlebovirus, family Bunyaviridae) causes mosquito-borne epidemic diseases in humans and… Expand
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2008
2008
Human breast milk samples (n = 30) were collected from mothers within the age range of 19–40 years from Thohoyandou area, South… Expand
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2005
2005
The initiation of glycogen synthesis requires the protein glycogenin, which incorporates glucose residues through a self… Expand
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2003
2003
The possibility that RNY pattern bias in extant sequences is a remnant of more pronounced bias of this type in early ancestors… Expand
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Highly Cited
2002
Highly Cited
2002
The Cys2-His2-type zinc finger DNA-binding proteins can be engineered to bind specifically to many different DNA sequences. A… Expand
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Highly Cited
1999
Highly Cited
1999
This paper examines the function approximation properties of the "random neural-network model" or GNN. The output of the GNN can… Expand
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Highly Cited
1996
Highly Cited
1996
A new hybrid method (GNN) combining a genetic algorithm and an artificial neural network has been developed for quantitative… Expand
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1987
1987
Clues to evolution of the genetic code can be found by comparing usage of anticodons in various organisms and organelles. GC… Expand
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