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    NIPS
    2003
    133views Information Technology» more  NIPS 2003»
    ICA-based Clustering of Genes from Microarray Expression Data
    13 years 9 months ago
    ICA-based Clustering of Genes from Microarray Expression Data
    Download  books.nips.cc
    We propose an unsupervised methodology using independent component analysis (ICA) to cluster genes from DNA microarray data. Based on an ICA mixture model of genomic expression pa...
    Su-In Lee, Serafim Batzoglou
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    CSB
    2005
    IEEE
    130views Bioinformatics» more  CSB 2005»
    iSimBioSys: An "In Silico" Discrete Event Simulation Framework for Modeling Biological Systems
    14 years 1 months ago
    iSimBioSys: An "In Silico" Discrete Event Simulation Framework for Modeling Biological Systems
    Download  conferences.computer.org
    The genome projects have provided comprehensive information about the basic building blocks of life. The next challenge is to understand how biological functions emerge from compl...
    Samik Ghosh, Preetam Ghosh, Kalyan Basu, Sajal K. ...
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    BIOINFORMATICS
    2005
    169views more  BIOINFORMATICS 2005»
    A statistical model providing comprehensive predictions for the mRNA differential display
    13 years 8 months ago
    A statistical model providing comprehensive predictions for the mRNA differential display
    Download  www.wissenschaft-online.de
    s Dirk Tremmel, Maximilian Tropschug N. crassa FKBP22 is part of a protein folding helper complex in the ER [oral presentation] Manuela Heiner A carbamate-cleaving catalytic antibo...
    David Meintrup, Ellen Reisinger
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    RECOMB
    2001
    Springer
    129views Computational Biology» more  RECOMB 2001»
    Extracting structural information using time-frequency analysis of protein NMR data
    14 years 14 days ago
    Extracting structural information using time-frequency analysis of protein NMR data
    Download  www.cs.duke.edu
    High-throughput, data-directed computational protocols for Structural Genomics (or Proteomics) are required in order to evaluate the protein products of genes for structure and fu...
    Christopher James Langmead, Bruce Randall Donald
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    CIBCB
    2007
    IEEE
    204views Computational Biology» more  CIBCB 2007»
    Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
    14 years 1 days ago
    Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
    Download  www.jihe.net
    Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...
    Ji He, Xinbin Dai, Xuechun Zhao
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