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NT5DC3 gene

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

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Can Graph Neural Networks Help Logic Reasoning?
Effectively combining logic reasoning and probabilistic inference has been a long-standing goal of machine learning: the former… 
2013
2013
Multiple classifiers systems with granular neural networks
Hybridization of neural networks and fuzzy sets has proved its efficiency in solving different pattern classification tasks… 
2008
2008
DDT, DDE and DDD in Human Milk from South Africa
Human breast milk samples (n = 30) were collected from mothers within the age range of 19–40 years from Thohoyandou area, South… 
2007
2007
Meta-Cognitive Mappings: Growing Neural Networks for Generative Urbanism
This paper examines the use of dynamic learning systems and adaptive topologies within neural networks models, and their… 
2005
2005
GNN is a self-glucosylating protein involved in the initiation step of glycogen biosynthesis in Neurospora crassa.
2005
2005
The Common Viral Insertion Site Evi12 Is Located in the 5′-Noncoding Region of Gnn, a Novel Gene with Enhanced Expression in Two Subclasses of Human Acute Myeloid Leukemia
ABSTRACT The leukemia and lymphoma disease locus Evi12 was mapped to the noncoding region of a novel gene, Gnn (named for Grp94… 
2004
2004
TU12B1-TY, a novel gene in the region at 12q22-q23.1 frequently deleted in pancreatic cancer, shows reduced expression in pancreatic cancer cells.
Loss of heterozygosity (LOH) on 12q is frequently observed in primary pancreatic cancer, as well as in cancers of other tissues… 
2003
2003
Greater GNN pattern bias in sequence elements encoding conserved residues of ancient proteins may be an indicator of amino acid composition of early proteins.
Highly Cited
1999
Highly Cited
1999
Function approximation with spiked random networks
This paper examines the function approximation properties of the "random neural-network model" or GNN. The output of the GNN can… 
Highly Cited
1996
Highly Cited
1996
Evolutionary optimization in quantitative structure-activity relationship: an application of genetic neural networks.
A new hybrid method (GNN) combining a genetic algorithm and an artificial neural network has been developed for quantitative… 
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