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    BMCBI
    2008
    127views more  BMCBI 2008»
    Gene and pathway identification with Lp penalized Bayesian logistic regression
    13 years 7 months ago
    Gene and pathway identification with Lp penalized Bayesian logistic regression
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    Background: Identifying genes and pathways associated with diseases such as cancer has been a subject of considerable research in recent years in the area of bioinformatics and co...
    Zhenqiu Liu, Ronald B. Gartenhaus, Ming Tan, Feng ...
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    CHI
    2008
    ACM
    143views Human Computer Interaction» more  CHI 2008»
    Introducing item response theory for measuring usability inspection processes
    13 years 9 months ago
    Introducing item response theory for measuring usability inspection processes
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    Usability evaluation methods have a long history of research. Latest contributions significantly raised the validity of method evaluation studies. But there is still a measurement...
    Martin Schmettow, Wolfgang Vietze
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    BMCBI
    2006
    137views more  BMCBI 2006»
    Bounded search for de novo identification of degenerate cis-regulatory elements
    13 years 7 months ago
    Bounded search for de novo identification of degenerate cis-regulatory elements
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    Background: The identification of statistically overrepresented sequences in the upstream regions of coregulated genes should theoretically permit the identification of potential ...
    Jonathan M. Carlson, Arijit Chakravarty, Radhika S...
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    BMCBI
    2005
    122views more  BMCBI 2005»
    A neural strategy for the inference of SH3 domain-peptide interaction specificity
    13 years 7 months ago
    A neural strategy for the inference of SH3 domain-peptide interaction specificity
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    Background: The SH3 domain family is one of the most representative and widely studied cases of so-called Peptide Recognition Modules (PRM). The polyproline II motif PxxP that gen...
    Enrico Ferraro, Allegra Via, Gabriele Ausiello, Ma...
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    ICDM
    2009
    IEEE
    233views Data Mining» more  ICDM 2009»
    Semi-Supervised Sequence Labeling with Self-Learned Features
    14 years 2 months ago
    Semi-Supervised Sequence Labeling with Self-Learned Features
    Download  www.cs.cmu.edu
    —Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
    Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
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