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Updated: Aug 11, 2026

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Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
Published on: June 8, 2020
Analysis of large-scale gene expression data
1Department of Genetics, Stanford University Medical Center, Stanford, 94306-5120, USA. sherlock@genome.stanford.edu
Current Opinion in Immunology
|March 14, 2000
Abstract:
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.

