• 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