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» Learning computing models from cells and tissues: P systems
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ICES
2003
Springer
111views Hardware» more  ICES 2003»
14 years 19 days ago
Spiking Neural Networks for Reconfigurable POEtic Tissue
Abstract. Vertebrate and most invertebrate organisms interact with their environment through processes of adaptation and learning. Such processes are generally controlled by comple...
Jan Eriksson, Oriol Torres, Andrew Mitchell, Gayle...
ALIFE
2008
13 years 7 months ago
A Model of the Quorum Sensing System in Vibrio fischeri Using P Systems
Quorum sensing is a cell density dependent gene regulation system that allows an entire population of bacterial cells to communicate in order to regulate the expression of certain ...
Francisco José Romero-Campero, Mario J. P&e...
ISVC
2010
Springer
13 years 5 months ago
A Human Inspired Local Ratio-Based Algorithm for Edge Detection in Fluorescent Cell Images
Abstract. We have developed a new semi-automated method for segmenting images of biological cells seeded at low density on tissue culture substrates, which we use to improve the ge...
Joe Chalfoun, Alden Dima, Adele P. Peskin, John T....
ECAL
2005
Springer
14 years 29 days ago
Simulating Evolution with a Computational Model of Embryogeny: Obtaining Robustness from Evolved Individuals
Abstract. An evolutionary system is presented which employs an embryogeny model to evolve phenotypes in the form of layout of cells in specific patterns and shapes. It is shown th...
Chris P. Bowers
BMCBI
2010
140views more  BMCBI 2010»
13 years 4 months ago
An improved machine learning protocol for the identification of correct Sequest search results
Background: Mass spectrometry has become a standard method by which the proteomic profile of cell or tissue samples is characterized. To fully take advantage of tandem mass spectr...
Morten Kallberg, Hui Lu