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    BMCBI
    2011
    268views Artificial Intelligence» more  BMCBI 2011»
    A novel approach to the clustering of microarray data via nonparametric density estimation
    13 years 24 days ago
    A novel approach to the clustering of microarray data via nonparametric density estimation
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    Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
    Riccardo De Bin, Davide Risso
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    BMCBI
    2011
    251views Artificial Intelligence» more  BMCBI 2011»
    Motif-guided sparse decomposition of gene expression data for regulatory module identification
    13 years 24 days ago
    Motif-guided sparse decomposition of gene expression data for regulatory module identification
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    Background: Genes work coordinately as gene modules or gene networks. Various computational approaches have been proposed to find gene modules based on gene expression data; for e...
    Ting Gong, Jianhua Xuan, Li Chen, Rebecca B. Riggi...
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    PRL
    2010
    149views more  PRL 2010»
    Adaptive linear models for regression: Improving prediction when population has changed
    13 years 16 days ago
    Adaptive linear models for regression: Improving prediction when population has changed
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    The general setting of regression analysis is to identify a relationship between a response variable Y and one or several explanatory variables X by using a learning sample. In a ...
    Charles Bouveyron, Julien Jacques
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    PROMISE
    2010
    179views Software Engineering» more  PROMISE 2010»
    Prediction of defect distribution based on project characteristics for proactive project management
    13 years 16 days ago
    Prediction of defect distribution based on project characteristics for proactive project management
    Download  promisedata.org
    As software has been pervasive and various software projects have been executed since the 1970s, software project management has played a significant role in software industry. Th...
    Youngki Hong, Wondae Kim, Jeongsoo Joo
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    TSP
    2010
    156views Artificial Intelligence» more  TSP 2010»
    Low complexity equalization for doubly selective channels modeled by a basis expansion
    13 years 14 days ago
    Low complexity equalization for doubly selective channels modeled by a basis expansion
    Download  publik.tuwien.ac.at
    We propose a novel equalization method for doubly selective wireless channels, whose taps are represented by an arbitrary Basis Expansion Model (BEM). We view such a channel in the...
    Tomasz Hrycak, Saptarshi Das, Gerald Matz, Hans G....
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