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
Link To Document :
بازگشت