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    BMCBI
    2008
    102views more  BMCBI 2008»
    Combining sequence-based prediction methods and circular dichroism and infrared spectroscopic data to improve protein secondary
    13 years 10 months ago
    Combining sequence-based prediction methods and circular dichroism and infrared spectroscopic data to improve protein secondary
    Download  www.biomedcentral.com
    Background: A number of sequence-based methods exist for protein secondary structure prediction. Protein secondary structures can also be determined experimentally from circular d...
    Jonathan G. Lees, Robert W. Janes
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    KBS
    2002
    141views more  KBS 2002»
    Using J-pruning to reduce overfitting in classification trees
    13 years 9 months ago
    Using J-pruning to reduce overfitting in classification trees
    Download  www.maxbramer.org.uk
    The automatic induction of classification rules from examples in the form of a decision tree is an important technique used in data mining. One of the problems encountered is the o...
    Max Bramer
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    WSC
    1998
    129views Modeling And Simulation» more  WSC 1998»
    Modeling Cardiac Ion Channel Conductivity: Model Fitting via Simulation
    13 years 11 months ago
    Modeling Cardiac Ion Channel Conductivity: Model Fitting via Simulation
    Download  www.informs-sim.org
    We describe a Markov state model for a cloned potassium channel of the human heart ( 1KvLQTI ). The parameters of the model are determined by a least-squares fit of predicted vs. ...
    John L. Maryak, Richard H. Smith, Raimond L. Winsl...
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    BMCBI
    2006
    124views more  BMCBI 2006»
    Network-based de-noising improves prediction from microarray data
    13 years 10 months ago
    Network-based de-noising improves prediction from microarray data
    Download  www.cbrc.jp
    Background: Prediction of human cell response to anti-cancer drugs (compounds) from microarray data is a challenging problem, due to the noise properties of microarrays as well as...
    Tsuyoshi Kato, Yukio Murata, Koh Miura, Kiyoshi As...
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    IJON
    2007
    106views more  IJON 2007»
    Forecasting the CATS benchmark with the Double Vector Quantization method
    13 years 9 months ago
    Forecasting the CATS benchmark with the Double Vector Quantization method
    Download  www.dice.ucl.ac.be
    The Double Vector Quantization (DVQ) method, a long-term forecasting method based on the self-organizing maps algorithm, has been used to predict the 100 missing values of the CAT...
    Geoffroy Simon, John Aldo Lee, Marie Cottrell, Mic...
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