Application of the Neural Networks Based on Multi-valued Neurons to Classification of the Images of Gene Expression Patterns

2001 ◽  
pp. 291-304 ◽  
Author(s):  
Igor Aizenberg ◽  
Ekaterina Myasnikova ◽  
Maria Samsonova ◽  
John Reinitz
Keyword(s):  
Gene Expression ◽  
Neural Networks ◽  
Expression Patterns ◽  
Gene Expression Patterns ◽  
The Neural Networks

Classification of the images of gene expression patterns using neural networks based on multivalued neurons with the minimal number of inputs

2002 ◽  
Author(s):  
Igor N. Aizenberg ◽  
Constantine Butakoff ◽  
Ekaterina Myasnikova ◽  
Maria Samsonova ◽  
John Reinitz
Keyword(s):  
Gene Expression ◽  
Neural Networks ◽  
Expression Patterns ◽  
Gene Expression Patterns

scholarly journals Automatic Classification of Embryonic Fruit Fly Gene Expression Patterns

2009 ◽  
pp. 415-419 ◽  
Author(s):  
Andreas Heffel ◽  
Sonja J. Prohaska ◽  
Peter F. Stadler ◽  
Gerhard Kauer ◽  
Jens-Peer Kuska
Keyword(s):  
Gene Expression ◽  
Expression Patterns ◽  
Fruit Fly ◽  
Automatic Classification ◽  
Gene Expression Patterns

scholarly journals Uncovering the transcriptional signatures of hub connectivity in neural networks

2018 ◽  
Author(s):  
Aurina Arnatkeviciute ◽  
Ben Fulcher ◽  
Alex Fornito
Keyword(s):  
Gene Expression ◽  
Neural Networks ◽  
Large Scale ◽  
Expression Patterns ◽  
Genetic Influences ◽  
Gene Expression Patterns ◽  
Small Subset ◽  
Present Evidence ◽  
Large Scale Network ◽  
Scale Network

Connections in nervous systems are disproportionately concentrated on a small subset of neural elements that act as network hubs. Hubs have been found across different of species and scales ranging from C.elegans to mouse, rat, cat, macaque and human, suggesting a role for genetic influences. The recent availability of brain-wide gene expression atlases provides new opportunities for mapping the transcriptional correlates of large-scale network-level phenotypes. Here we review studies that use these atlases to investigate gene expression patterns associated with hub connectivity in neural networks and present evidence that some of these patterns are conserved across species and scales.

Sign in / Sign up

Export Citation Format

Share Document