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    BMCBI
    2006
    147views more  BMCBI 2006»
    A hidden Markov model approach for determining expression from genomic tiling micro arrays
    13 years 9 months ago
    A hidden Markov model approach for determining expression from genomic tiling micro arrays
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    Background: Genomic tiling micro arrays have great potential for identifying previously undiscovered coding as well as non-coding transcription. To-date, however, analyses of thes...
    Kasper Munch, Paul P. Gardner, Peter Arctander, An...
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    BMCBI
    2006
    187views more  BMCBI 2006»
    Detecting outliers when fitting data with nonlinear regression - a new method based on robust nonlinear regression and the false
    13 years 9 months ago
    Detecting outliers when fitting data with nonlinear regression - a new method based on robust nonlinear regression and the false
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    Background: Nonlinear regression, like linear regression, assumes that the scatter of data around the ideal curve follows a Gaussian or normal distribution. This assumption leads ...
    Harvey J. Motulsky, Ronald E. Brown
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    BMCBI
    2006
    109views more  BMCBI 2006»
    GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease
    13 years 9 months ago
    GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease
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    Background: The identification and characterization of genes that influence the risk of common, complex multifactorial disease primarily through interactions with other genes and ...
    Alison A. Motsinger, Stephen L. Lee, George Mellic...
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    BMCBI
    2006
    144views more  BMCBI 2006»
    More robust detection of motifs in coexpressed genes by using phylogenetic information
    13 years 9 months ago
    More robust detection of motifs in coexpressed genes by using phylogenetic information
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    Background: Several motif detection algorithms have been developed to discover overrepresented motifs in sets of coexpressed genes. However, in a noisy gene list, the number of ge...
    Pieter Monsieurs, Gert Thijs, Abeer A. Fadda, Sigr...
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    BMCBI
    2006
    123views more  BMCBI 2006»
    How to decide? Different methods of calculating gene expression from short oligonucleotide array data will give different result
    13 years 9 months ago
    How to decide? Different methods of calculating gene expression from short oligonucleotide array data will give different result
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    Background: Short oligonucleotide arrays for transcript profiling have been available for several years. Generally, raw data from these arrays are analysed with the aid of the Mic...
    Frank F. Millenaar, John Okyere, Sean T. May, Mart...
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    BMCBI
    2006
    146views more  BMCBI 2006»
    Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
    13 years 9 months ago
    Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
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    Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
    Michael Meissner, Michael Schmuker, Gisbert Schnei...
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    BMCBI
    2006
    169views more  BMCBI 2006»
    Comparative analysis of haplotype association mapping algorithms
    13 years 9 months ago
    Comparative analysis of haplotype association mapping algorithms
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    Background: Finding the genetic causes of quantitative traits is a complex and difficult task. Classical methods for mapping quantitative trail loci (QTL) in miceuse an F2 cross b...
    Phillip McClurg, Mathew T. Pletcher, Tim Wiltshire...
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    BMCBI
    2006
    74views more  BMCBI 2006»
    Effects of filtering by Present call on analysis of microarray experiments
    13 years 9 months ago
    Effects of filtering by Present call on analysis of microarray experiments
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    Background: Affymetrix GeneChips
    Jeanette N. McClintick, Howard J. Edenberg
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    BMCBI
    2006
    134views more  BMCBI 2006»
    Application of machine learning in SNP discovery
    13 years 9 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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    BMCBI
    2006
    92views more  BMCBI 2006»
    Predicting survival outcomes using subsets of significant genes in prognostic marker studies with microarrays
    13 years 9 months ago
    Predicting survival outcomes using subsets of significant genes in prognostic marker studies with microarrays
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    Background: Genetic markers hold great promise for refining our ability to establish precise prognostic prediction for diseases. The development of comprehensive gene expression m...
    Shigeyuki Matsui
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