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    BMCBI
    2006
    156views more  BMCBI 2006»
    Bayesian models for pooling microarray studies with multiple sources of replications
    13 years 6 months ago
    Bayesian models for pooling microarray studies with multiple sources of replications
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    Background: Biologists often conduct multiple but different cDNA microarray studies that all target the same biological system or pathway. Within each study, replicate slides with...
    Erin M. Conlon, Joon J. Song, Jun S. Liu
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    BMCBI
    2006
    134views more  BMCBI 2006»
    Application of machine learning in SNP discovery
    13 years 6 months ago
    Application of machine learning in SNP discovery
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    Background: Single nucleotide polymorphisms (SNP) constitute more than 90% of the genetic variation, and hence can account for most trait differences among individuals in a given ...
    Lakshmi K. Matukumalli, John J. Grefenstette, Davi...
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    COMCOM
    2006
    178views more  COMCOM 2006»
    SIP-based MIP6-MANET: Design and implementation of mobile IPv6 and SIP-based mobile ad hoc networks
    13 years 6 months ago
    SIP-based MIP6-MANET: Design and implementation of mobile IPv6 and SIP-based mobile ad hoc networks
    Download  www.cs.ccu.edu.tw
    In this paper, we designed and implemented an integrated wireless system, namely a SIP-based MIP6-MANET system. This SIP-based MIP6MANET system is an integration and implementatio...
    Yuh-Shyan Chen, Yun-Hsuan Yang, Ren-Hung Hwang
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    BMCBI
    2007
    127views more  BMCBI 2007»
    Predicting the phenotypic effects of non-synonymous single nucleotide polymorphisms based on support vector machines
    13 years 6 months ago
    Predicting the phenotypic effects of non-synonymous single nucleotide polymorphisms based on support vector machines
    Download  www.biomedcentral.com
    Background: Human genetic variations primarily result from single nucleotide polymorphisms (SNPs) that occur approximately every 1000 bases in the overall human population. The no...
    Jian Tian, Ningfeng Wu, Xuexia Guo, Jun Guo, Juhua...
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    BMCBI
    2005
    108views more  BMCBI 2005»
    A linear memory algorithm for Baum-Welch training
    13 years 6 months ago
    A linear memory algorithm for Baum-Welch training
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    Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
    István Miklós, Irmtraud M. Meyer
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