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    BMCBI
    2007
    207views more  BMCBI 2007»
    Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering
    14 years 10 months ago
    Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering
    Download  www.biomedcentral.com
    Background: Many important high throughput projects use in situ hybridization and may require the analysis of images of spatial cross sections of organisms taken with cellular lev...
    Manjunatha Jagalur, Chris Pal, Erik G. Learned-Mil...
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    JIB
    2006
    220views more  JIB 2006»
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    14 years 9 months ago
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    Download  journal.imbio.de
    Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
    Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
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    NETWORK
    2008
    139views more  NETWORK 2008»
    Composing semantic services in open sensor-rich environments
    14 years 9 months ago
    Composing semantic services in open sensor-rich environments
    Download  research.microsoft.com
    Consider a scenario where Jane is at an airport. She wants to find a restaurant with healthy food and short waiting time on the way to her terminal. The airport can provide such s...
    Jie Liu, Feng Zhao
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    NAR
    2006
    177views more  NAR 2006»
    PUMA2 - grid-based high-throughput analysis of genomes and metabolic pathways
    14 years 9 months ago
    PUMA2 - grid-based high-throughput analysis of genomes and metabolic pathways
    Download  www.mcs.anl.gov
    The PUMA2 system (available at http://compbio.mcs. 10 anl.gov/puma2) is an interactive, integrated bioinformatics environment for high-throughput genetic sequence analysis and met...
    Natalia Maltsev, Elizabeth M. Glass, Dinanath Sula...
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    PR
    2006
    164views more  PR 2006»
    Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
    14 years 9 months ago
    Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
    Download  repository.ust.hk
    Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
    Hong Chang, Dit-Yan Yeung
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