Analysis of large-scale gene expression data

Curr Opin Immunol. 2000 Apr;12(2):201-5. doi: 10.1016/s0952-7915(99)00074-6.


The advent of cDNA and oligonucleotide microarray technologies has led to a paradigm shift in biological investigation, such that the bottleneck in research is shifting from data generation to data analysis. Hierarchical clustering, divisive clustering, self-organizing maps and k-means clustering have all been recently used to make sense of this mass of data.

Publication types

  • Comparative Study
  • Review

MeSH terms

  • Algorithms*
  • Animals
  • Artifacts
  • Cell Cycle / genetics
  • Cluster Analysis
  • Data Interpretation, Statistical*
  • Electronic Data Processing / methods
  • Gene Expression Profiling*
  • Gene Expression Regulation, Neoplastic
  • Humans
  • Oligonucleotide Array Sequence Analysis*