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    BMCBI
    2006
    112views more  BMCBI 2006»
    MassSorter: a tool for administrating and analyzing data from mass spectrometry experiments on proteins with known amino acid se
    13 years 8 months ago
    MassSorter: a tool for administrating and analyzing data from mass spectrometry experiments on proteins with known amino acid se
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    Background: Proteomics is the study of the proteome, and is critical to the understanding of cellular processes. Two central and related tasks of proteomics are protein identifica...
    Harald Barsnes, Svein-Ole Mikalsen, Ingvar Eidhamm...
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    BMCBI
    2006
    119views more  BMCBI 2006»
    LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
    13 years 8 months ago
    LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
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    Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
    Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
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    IMCS
    2007
    144views more  IMCS 2007»
    On the imbalance of the security problem space and its expected consequences
    13 years 8 months ago
    On the imbalance of the security problem space and its expected consequences
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    Purpose – This paper aims to report on the results of an analysis of the computer security problem space, to suggest the areas with highest potential for making progress in the ...
    Konstantin Beznosov, Olga Beznosova
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    BMCBI
    2005
    94views more  BMCBI 2005»
    Computational identification of strain-, species- and genus-specific proteins
    13 years 8 months ago
    Computational identification of strain-, species- and genus-specific proteins
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    Background: The identification of unique proteins at different taxonomic levels has both scientific and practical value. Strain-, species- and genus-specific proteins can provide ...
    Raja Mazumder, Darren A. Natale, Sudhir Murthy, Ra...
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    BMCBI
    2005
    152views more  BMCBI 2005»
    Improved profile HMM performance by assessment of critical algorithmic features in SAM and HMMER
    13 years 8 months ago
    Improved profile HMM performance by assessment of critical algorithmic features in SAM and HMMER
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    Background: Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling ar...
    Markus Wistrand, Erik L. L. Sonnhammer
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