Chang Sik Kim

Summary

Affiliation: Kangwon National University
Country: Korea

Publications

  1. ncbi Phase Coupled Meta-analysis: sensitive detection of oscillations in cell cycle gene expression, as applied to fission yeast
    Saumyadipta Pyne
    Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
    BMC Genomics 10:440. 2009
  2. ncbi Bayesian Orthogonal Least Squares (BOLS) algorithm for reverse engineering of gene regulatory networks
    Chang Sik Kim
    Bioinformatics Group, Turku Centre for Computer Science, Turku, Finland
    BMC Bioinformatics 8:251. 2007
  3. ncbi A phase synchronization clustering algorithm for identifying interesting groups of genes from cell cycle expression data
    Chang Sik Kim
    Institute of Animal Resources Research, Kangwon National University, Chuncheon, Republic of Korea
    BMC Bioinformatics 9:56. 2008
  4. ncbi Self-Organizing Maps with Statistical Phase Synchronization (SOMPS) for analyzing cell cycle-specific gene expression data
    Chang Sik Kim
    Institute of Animal Resources Research, Kangwon National University
    Stat Appl Genet Mol Biol 7:Article1. 2008
  5. ncbi Detecting biological associations between genes based on the theory of phase synchronization
    Chang Sik Kim
    Institute of Animal Resources Research, Kangwon National University, Chuncheon, Republic of Korea
    Biosystems 92:99-113. 2008

Collaborators

  • Saumyadipta Pyne
  • Roee Gutman
  • Bruce Futcher

Detail Information

Publications5

  1. ncbi Phase Coupled Meta-analysis: sensitive detection of oscillations in cell cycle gene expression, as applied to fission yeast
    Saumyadipta Pyne
    Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
    BMC Genomics 10:440. 2009
    ..Approaches that simply combine p-values ignore the second prediction...
  2. ncbi Bayesian Orthogonal Least Squares (BOLS) algorithm for reverse engineering of gene regulatory networks
    Chang Sik Kim
    Bioinformatics Group, Turku Centre for Computer Science, Turku, Finland
    BMC Bioinformatics 8:251. 2007
    ..Therefore, the reverse engineering of gene regulatory networks with large number of genes and limited number of data points requires rigorous optimization algorithm...
  3. ncbi A phase synchronization clustering algorithm for identifying interesting groups of genes from cell cycle expression data
    Chang Sik Kim
    Institute of Animal Resources Research, Kangwon National University, Chuncheon, Republic of Korea
    BMC Bioinformatics 9:56. 2008
    ..e. systems producing response signals with period and frequency. Therefore, we are motivated to apply the theory of multivariate phase synchronization for clustering cell cycle specific genome-wide expression data...
  4. ncbi Self-Organizing Maps with Statistical Phase Synchronization (SOMPS) for analyzing cell cycle-specific gene expression data
    Chang Sik Kim
    Institute of Animal Resources Research, Kangwon National University
    Stat Appl Genet Mol Biol 7:Article1. 2008
    ....
  5. ncbi Detecting biological associations between genes based on the theory of phase synchronization
    Chang Sik Kim
    Institute of Animal Resources Research, Kangwon National University, Chuncheon, Republic of Korea
    Biosystems 92:99-113. 2008
    ..The evaluation analysis of the results by phase-synchronization clustering also suggests that the cellular activities during the cell division process could be understood as a phenomenon of collective synchronization...