Related Experiment Video
Updated: Aug 8, 2026

07:30
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, CA 94306-5120, USA. sherlock@genome.stanford.edu
Briefings in Bioinformatics
|January 26, 2002
Abstract:
DNA microarray technology has resulted in the generation of large complex data sets, such that the bottleneck in biological investigation has shifted from data generation, to data analysis. This review discusses some of the algorithms and tools for the analysis and organisation of microarray expression data, including clustering methods, partitioning methods, and methods for correlating expression data to other biological data.

