DocumentCode
445846
Title
Genome space and structure genome invariants
Author
Resconi, Germano
Author_Institution
Catholic Univ., Trieste, Italy
Volume
1
fYear
2005
fDate
31 July-4 Aug. 2005
Firstpage
440
Abstract
The traditional approach examines and collects data on a single gene, a single protein or a single reaction at a time. Given the state space of the cell, any gene can be represented by a point (vector) in this space and its components are the protein expressions of the same gene for any state. When the same process is repeated for all the genes, we obtain a set of points (vectors) which is a new space or genome space. Inside the genome space we can define invariants that give us the structure of the genome space. With the genome space and state space we can give a model for any cell and in particular for the neurons in the brain.
Keywords
brain models; brain neuron model; cell state space; genome space; protein expression; structure genome invariant; Bioinformatics; Brain modeling; Coordinate measuring machines; Gene expression; Genetic mutations; Genomics; Neurons; Proteins; Regulators; State-space methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
Print_ISBN
0-7803-9048-2
Type
conf
DOI
10.1109/IJCNN.2005.1555871
Filename
1555871
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