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    » Biological Network Inference Using Redundancy Analysis
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    GD
    2009
    Springer
    176views Computer Graphics» more  GD 2009»
    On Open Problems in Biological Network Visualization
    14 years 7 months ago
    On Open Problems in Biological Network Visualization
    Download  homepage.lnu.se
    Much of the data generated and analyzed in the life sciences can be interpreted and represented by networks or graphs. Network analysis and visualization methods help in investigat...
    Mario Albrecht, Andreas Kerren, Karsten Klein, Oli...
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    BMCBI
    2007
    130views more  BMCBI 2007»
    A model-based optimization framework for the inference of regulatory interactions using time-course DNA microarray expression da
    14 years 9 months ago
    A model-based optimization framework for the inference of regulatory interactions using time-course DNA microarray expression da
    Download  www.biomedcentral.com
    Background: Proteins are the primary regulatory agents of transcription even though mRNA expression data alone, from systems like DNA microarrays, are widely used. In addition, th...
    Reuben Thomas, Carlos J. Paredes, Sanjay Mehrotra,...
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    CIBCB
    2007
    IEEE
    204views Computational Biology» more  CIBCB 2007»
    Genetic Regulatory Network Modeling Using Network Component Analysis and Fuzzy Clustering
    15 years 1 months ago
    Genetic Regulatory Network Modeling Using Network Component Analysis and Fuzzy Clustering
    Download  bme.aut.ac.ir
    Gene regulatory network model is the most widely used mechanism to model and predict the behavior of living organisms. Network Component Analysis (NCA) as an emerging issue for unc...
    Fatemeh Bakouie, Mohammad Hassan Moradi
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    ICC
    2007
    IEEE
    119views Communications» more  ICC 2007»
    On Channel State Inference and Prediction Using Observable Variables in 802.11b Network
    15 years 4 months ago
    On Channel State Inference and Prediction Using Observable Variables in 802.11b Network
    Download  www.egr.msu.edu
    —Performance of cross-layer protocols that recommend the relay of corrupted packets to higher layers can be improved significantly by accurately inferring/predicting the bit erro...
    Shirish S. Karande, Syed A. Khayam, Yongju Cho, Ki...
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    NECO
    2007
    127views more  NECO 2007»
    Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
    14 years 9 months ago
    Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
    Download  dsp.ucsd.edu
    We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
    Joseph F. Murray, Kenneth Kreutz-Delgado
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