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    RECOMB
    2001
    Springer
    136views Computational Biology» more  RECOMB 2001»
    A new approach to fragment assembly in DNA sequencing
    14 years 8 months ago
    A new approach to fragment assembly in DNA sequencing
    Download  nbcr.sdsc.edu
    For the last twenty years fragment assembly in DNA sequencing followed the "overlap - layout - consensus" paradigm that is used in all currently available assembly tools...
    Pavel A. Pevzner, Haixu Tang, Michael S. Waterman
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    BMCBI
    2010
    174views more  BMCBI 2010»
    The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based h
    13 years 8 months ago
    The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based h
    Download  www.biomedcentral.com
    Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
    Junbai Wang
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    RECOMB
    2007
    Springer
    166views Computational Biology» more  RECOMB 2007»
    Design of Compact, Universal DNA Microarrays for Protein Binding Microarray Experiments
    14 years 8 months ago
    Design of Compact, Universal DNA Microarrays for Protein Binding Microarray Experiments
    Download  thebrain.bwh.harvard.edu
    Our group has recently developed a compact, universal protein binding microarray (PBM) that can be used to determine the binding preferences of transcription factors (TFs) [1]. Thi...
    Anthony A. Philippakis, Aaron M. Qureshi, Michael ...
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    ISMB
    1994
    105views Computational Biology» more  ISMB 1994»
    DNA Sequence Analysis Using Hierarchical ART-based Classification Network
    13 years 9 months ago
    DNA Sequence Analysis Using Hierarchical ART-based Classification Network
    Download  www.aaai.org
    Adaptive resonance theory (ART)describes a class of artificial neural networkarchitectures that act as classification tools whichself-organize, workin realtime, and require no ret...
    Cathie LeBlanc, Charles R. Katholi, Thomas R. Unna...
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    ISMB
    1993
    116views Computational Biology» more  ISMB 1993»
    Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
    13 years 9 months ago
    Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
    Download  www.aaai.org
    Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
    Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman
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