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    BMCBI
    2008
    218views more  BMCBI 2008»
    LOSITAN: A workbench to detect molecular adaptation based on a Fst-outlier method
    13 years 9 months ago
    LOSITAN: A workbench to detect molecular adaptation based on a Fst-outlier method
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    Background: Testing for selection is becoming one of the most important steps in the analysis of multilocus population genetics data sets. Existing applications are difficult to u...
    Tiago Antao, Ana Lopes, Ricardo J. Lopes, Albano B...
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    JIB
    2006
    220views more  JIB 2006»
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    13 years 8 months ago
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
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    Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
    Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
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    BMCBI
    2005
    89views more  BMCBI 2005»
    Theme discovery from gene lists for identification and viewing of multiple functional groups
    13 years 8 months ago
    Theme discovery from gene lists for identification and viewing of multiple functional groups
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    Background: High throughput methods of the genome era produce vast amounts of data in the form of gene lists. These lists are large and difficult to interpret without advanced com...
    Petri Pehkonen, Garry Wong, Petri Töröne...
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    BMCBI
    2007
    146views more  BMCBI 2007»
    Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
    13 years 9 months ago
    Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
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    Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
    Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...
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    BMCBI
    2007
    194views more  BMCBI 2007»
    Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
    13 years 9 months ago
    Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
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    Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
    Xin Zhao, Leo Wang-Kit Cheung
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