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Microarray Data Analysis and Mining.

Authors :
Walker, John M.
Decler, Jochen
Reischl, Udo
Saviozzi, Silvia
Iazzetti, Giovanni
Caserta, Enrico
Guffanti, Alessandro
Calogero, Raffaele A.
Source :
Molecular Diagnosis of Infectious Diseases (9781588292216); 2004, p67-90, 24p
Publication Year :
2004

Abstract

DNA microarray is an innovative technology for obtaining information on gene function. Because it is a high-throughput method, computational tools are essential in data analysis and mining to extract the knowledge from experimental results. Filtering procedures and statistical approaches are frequently combined to identify differentially expressed genes. However, obtaining a list of differentially expressed genes is only the starting point because an important step is the integration of differential expression profiles in a biological context, which is a hot topic in data mining. In this chapter an integrated approach of filtering and statistical validation to select trustable differentially expressed genes is described together with a brief introduction on data mining focusing on the classification of co-regulated genes on the basis of their biological function. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9781588292216
Database :
Supplemental Index
Journal :
Molecular Diagnosis of Infectious Diseases (9781588292216)
Publication Type :
Book
Accession number :
33174852
Full Text :
https://doi.org/10.1385/1-59259-679-7:67