Analysis of large-scale gene expression data

✍ Scribed by Gavin Sherlock

• Publisher: Elsevier Science
• Year: 2000
• Tongue: English
• Weight: 264 KB
• Volume: 12
• Category: Article
• ISSN: 0952-7915
• DOI: 10.1016/s0952-7915(99)00074-6

✦ Synopsis

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.