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    CSDA
    2007
    151views more  CSDA 2007»
    Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments
    14 years 9 months ago
    Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments
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    An important goal of microarray studies is the detection of genes that show significant changes in observed expressions when two or more classes of biological samples such as tre...
    Marco Alfò, Alessio Farcomeni, Luca Tardell...
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    SIAMDM
    2008
    99views more  SIAMDM 2008»
    Phase Changes in Subtree Varieties in Random Recursive and Binary Search Trees
    14 years 9 months ago
    Phase Changes in Subtree Varieties in Random Recursive and Binary Search Trees
    Download  info.tuwien.ac.at
    We study the variety of subtrees lying on the fringe of recursive trees and binary search trees by analyzing the distributional behavior of Xn,k, which counts the number of subtree...
    Qunqiang Feng, Hosam M. Mahmoud, Alois Panholzer
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    IJON
    2007
    76views more  IJON 2007»
    Modeling L-LTP based on changes in concentration of pCREB transcription factor
    14 years 9 months ago
    Modeling L-LTP based on changes in concentration of pCREB transcription factor
    Download  ii.fmph.uniba.sk
    We simulate the induction and maintenance of late long-term potentiation (L-LTP) in the hippocampal dentate gyrus by means of a new synaptic plasticity rule that is the result of ...
    Lubica Benuskova, Nikola Kasabov
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    CONNECTION
    2004
    94views more  CONNECTION 2004»
    Evolving internal memory for T-maze tasks in noisy environments
    14 years 9 months ago
    Evolving internal memory for T-maze tasks in noisy environments
    Download  cog.yonsei.ac.kr
    In autonomous agent systems, internal memory can be an important element to overcome the limitations of purely reactive agent behaviour. This paper presents an analysis of memory r...
    DaeEun Kim
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    IEEECIT
    2010
    IEEE
    99views Information Technology» more  IEEECIT 2010»
    Tessellating Cell Shapes for Geographical Clustering
    14 years 8 months ago
    Tessellating Cell Shapes for Geographical Clustering
    Download  www.imd.uni-rostock.de
    This paper investigates the energy-saving organization of sensor nodes in large wireless sensor networks. Due to a random deployment used in many application scenarios, much more n...
    Jakob Salzmann, Ralf Behnke, Dirk Timmermann
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