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    BMCBI
    2011
    273views Artificial Intelligence» more  BMCBI 2011»
    Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
    13 years 16 days ago
    Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
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    Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
    Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
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    ICCV
    1999
    IEEE
    165views Computer Vision» more  ICCV 1999»
    A Bidirectional Matching Algorithm for Deformable Pattern Detection with Application to Handwritten Word Retrieval
    14 years 11 months ago
    A Bidirectional Matching Algorithm for Deformable Pattern Detection with Application to Handwritten Word Retrieval
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    A Bayesian framework for deformable pattern classification has been proposed in [1] with promising results for isolated handwritten character recognition. Its performance, however...
    Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin
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    BMCBI
    2011
    254views Artificial Intelligence» more  BMCBI 2011»
    Reconstructing genome-wide regulatory network of E. coli using transcriptome data and predicted transcription factor activities
    13 years 16 days ago
    Reconstructing genome-wide regulatory network of E. coli using transcriptome data and predicted transcription factor activities
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    Background: Gene regulatory networks play essential roles in living organisms to control growth, keep internal metabolism running and respond to external environmental changes. Un...
    Yao Fu, Laura R. Jarboe, Julie A. Dickerson
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    BMCBI
    2006
    153views more  BMCBI 2006»
    Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive
    13 years 9 months ago
    Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive
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    Background: Recent advances in genome technologies have provided an excellent opportunity to determine the complete biological characteristics of neoplastic tissues, resulting in ...
    Hiro Takahashi, Takeshi Nemoto, Teruhiko Yoshida, ...
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    BMCBI
    2006
    101views more  BMCBI 2006»
    Predicting residue contacts using pragmatic correlated mutations method: reducing the false positives
    13 years 9 months ago
    Predicting residue contacts using pragmatic correlated mutations method: reducing the false positives
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    Background: Predicting residues' contacts using primary amino acid sequence alone is an important task that can guide 3D structure modeling and can verify the quality of the ...
    Petras J. Kundrotas, Emil Alexov
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