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    BMCBI
    2007
    144views more  BMCBI 2007»
    Accelerated search for biomolecular network models to interpret high-throughput experimental data
    13 years 6 months ago
    Accelerated search for biomolecular network models to interpret high-throughput experimental data
    Download  www.biomedcentral.com
    Background: The functions of human cells are carried out by biomolecular networks, which include proteins, genes, and regulatory sites within DNA that encode and control protein e...
    Suman Datta, Bahrad A. Sokhansanj
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    ISMB
    1994
    126views Computational Biology» more  ISMB 1994»
    Evolution of a Computer Program for Classifying Protein Segments as Transmembrane Domains Using Genetic Programming
    13 years 8 months ago
    Evolution of a Computer Program for Classifying Protein Segments as Transmembrane Domains Using Genetic Programming
    Download  www.cs.umd.edu
    The recently-developedgenetic programming paradigmisused to evoIve a computer program to classify a given protein segment as being a transmembrane domainor non-uansmembranearea of...
    John R. Koza
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    CSB
    2003
    IEEE
    90views Bioinformatics» more  CSB 2003»
    Search for Evolution-Related-Oligonucleotides and Conservative Words in rRNA Sequences
    13 years 12 months ago
    Search for Evolution-Related-Oligonucleotides and Conservative Words in rRNA Sequences
    Download  sansan.phy.ncu.edu.tw
    We describe a method for finding ungapped conserved words in rRNA sequences that is effective, utilizes evolutionary information and does not depend on multiple sequence alignment...
    Liaofu Luo, Li-Ching Hsieh, Fengmin Ji, Mengwen Ji...
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    SNPD
    2004
    139views Artificial Intelligence» more  SNPD 2004»
    Prediction of Protein Dispensability through Integrated Analysis of Multiple-Source High-Throughput Data
    13 years 8 months ago
    Prediction of Protein Dispensability through Integrated Analysis of Multiple-Source High-Throughput Data
    Download  www.genomes2life.org
    Protein dispensability is fundamental to understanding of gene function and evolution. It is usually studied at the individual gene phenotype level. Recent advances in generating ...
    Yu Chen, Dong Xu
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    GECCO
    2009
    Springer
    188views Optimization» more  GECCO 2009»
    Exploiting multiple classifier types with active learning
    13 years 10 months ago
    Exploiting multiple classifier types with active learning
    Download  www.cs.uvm.edu
    Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
    Zhenyu Lu, Josh Bongard
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