NR-notat/NR Note Tittel/Title: Microarray Data Mining: A Survey
Dato/Date: January År/Year: 2001 Notat nr: Note no: SAMBA/02/01
Forfatter/Author: Kjersti Aas
Sammendrag/Abstract: Through the use of DNA microarrays it is now possible to obtain quantitative measurements of Thr the expression of thousands of genes present in a biological sample. DNA arrays yield a global view of gene expression and can be used in a number of interesting ways. Clustering can be performed to identify genes that are regulated in a similar manner under a number of experimental conditions. DNA arrays can also be used to characterise the cellular differences between different tissue types, such as between normal cells and cancer cells, or between cancers with different responses to treatment, or between control cells and cells treated with a particular drug. Such discriminant analysis can potentially yield useful diagnostic tools for classifying samples on the basis of their gene expression patterns. Microarray data contains an overwhelming number of genes relative to the number of samples. However, in most cases only a small fraction of these genes are relevant when for instance discriminating between two tissue types. Hence, variable selection or identification of differentially expressed genes is an important issue of microarray data analysis. In this report we survey the methods that have been used for clustering, discriminant analysis, and variable selection connected to microarrays the last few years.
Emneord/Keywords:
CDNA microarray, data mining, clustering, discriminant analysis, differentially expressed genes
Tilgjengelighet/Availability:
Open
Prosjektnr./Project no.:
830100
Satsningsfelt/Research field:
Applied statistics
Antall sider/No. of pages:
35
Norsk Regnesentral / Norwegian Computing Center Gaustadalléen 23, Postboks 114 Blindern, 0314 Oslo, Norway Telefon 22 85 25 00, telefax 22 69 76 60
