Work

Statistical Methods for Gene Expression Data

Year: 2004

Type: article

Abstract: Since the introduction of DNA microarray, a revolutionary high through-put biological technology, a lot of papers have been published to deal with the analyses of the gene expression data from the microarray. In this paper we review most papers relevant to the cDNA microarray data, classify them in statistical methods' point of view, and present some statistical methods deserving consideration and future study.

Source: Communications for Statistical Applications and Methods

DOI: 10.5351/ckss.2004.11.1.059

Author: Choongrak Kim

Language: English

Topic: Gene expression and cancer classification

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: bronze

OpenAlex ID: W152849466

FWCI:

Cites: 64

Cited by: 1

Related to: 10