대량 생물학 데이터의 모델링 및 마이닝을 통한 활용

  • 발행 : 2003.06.01

초록

키워드

참고문헌

  1. Genome Biol. v.3 no.12 Supervised clustering of genes M. Dettling;P. Buhlmann
  2. Proc. Natl. Acad. Sci. v.95 Cluster analysis and display of genome-wide expression patterns M. B. Eisen(et al.)
  3. Bioinformatics v.18 A cluster validity framework for genome expression data F. Azuaje
  4. Proceedings of the Annual Meeting of Korean Soclety for Bioinformatics ClusterVerifier: Statistical estimation tool for clustering validation of gene expression data of DNA microarrays S. G. Lee(et al.)
  5. Gene $Ontology^{th}$ website
  6. Nat. Genet. v.25 Gene Ontology: tool for the unification of biology The Gene Ontology Consortium
  7. Nat. Genet. v.28 A literature network of human genes for high- throughput analysis of gene expression Hovig(et al.)
  8. Nature Genetics v.31 GenMAPP, a new tool for viewing and analyzing microarray data on biological pathways B.R. Conklin(et al.)
  9. Nature v.403 Guilt-by-association goes global S. Oliver
  10. Nature v.417 Comparative assessment of large-scale data sets of protein- protein interactions von C. Mering(et al.)
  11. Nucleic Acids Res. v.30 Interaction generality, a measurement to assess the reliability of a protein-protein interaction R Saito(et al.)
  12. Nucleic Acids Res. v.29 A relationship between gene expression and protein interactions on the proteome scale: analysis of the bacteriophage T7 and the yeast Saccharomyces cerevisiae A Grigoriev
  13. Nat. Genet. v.29 Correlation between transcriptome and interactome mapping data from Saccharomyces cerevisiae H. Ge(et al.)