Work

Analysis of large-scale gene expression data

Year: 2000

Type: review

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.

Source: Current Opinion in Immunology

DOI: 10.1016/s0952-7915(99)00074-6

Author: Gavin Sherlock

Institution: Stanford Medicine

Language: English

Topic: Gene expression and cancer classification

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: hybrid

Estimated APC paid: $4,410

OpenAlex ID: W1970472404

FWCI: 3.438

Cites: 25

Cited by: 375

Related to: 10