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    BMCBI
    2010
    118views more  BMCBI 2010»
    From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
    13 years 8 months ago
    From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
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    Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
    Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
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    BMCBI
    2010
    82views more  BMCBI 2010»
    Genome-wide estimation of firing efficiencies of origins of DNA replication from time-course copy number variation data
    13 years 8 months ago
    Genome-wide estimation of firing efficiencies of origins of DNA replication from time-course copy number variation data
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    Background: DNA replication is a fundamental biological process during S phase of cell division. It is initiated from several hundreds of origins along whole chromosome with diffe...
    Huaien Luo, Juntao Li, Majid Eshaghi, Jianhua Liu,...
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    BMCBI
    2010
    110views more  BMCBI 2010»
    TimeDelay-ARACNE: Reverse engineering of gene networks from time-course data by an information theoretic approach
    13 years 8 months ago
    TimeDelay-ARACNE: Reverse engineering of gene networks from time-course data by an information theoretic approach
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    Background: One of main aims of Molecular Biology is the gain of knowledge about how molecular components interact each other and to understand gene function regulations. Using mi...
    Pietro Zoppoli, Sandro Morganella, Michele Ceccare...
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    BMCBI
    2010
    103views more  BMCBI 2010»
    MTRAP: Pairwise sequence alignment algorithm by a new measure based on transition probability between two consecutive pairs of r
    13 years 8 months ago
    MTRAP: Pairwise sequence alignment algorithm by a new measure based on transition probability between two consecutive pairs of r
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    Background: Sequence alignment is one of the most important techniques to analyze biological systems. It is also true that the alignment is not complete and we have to develop it ...
    Toshihide Hara, Keiko Sato, Masanori Ohya
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    BMCBI
    2008
    137views more  BMCBI 2008»
    A dynamic Bayesian network approach to protein secondary structure prediction
    13 years 8 months ago
    A dynamic Bayesian network approach to protein secondary structure prediction
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    Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
    Xin-Qiu Yao, Huaiqiu Zhu, Zhen-Su She
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