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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

ISER: selection of differentially expressed genes from DNA array data by non-linear data transformations and local fitting

Full text
Author(s):
Drummond, R. D. ; Pinheiro, A. ; Rocha, C. S. ; Menossi, M. [4]
Total Authors: 4
Document type: Journal article
Source: Bioinformatics; v. 21, n. 24, p. 4427-4429, Dec. 2005.
Field of knowledge: Biological Sciences - Genetics
Abstract

This report describes an algorithm (intensity-dependent selection of expression ratios or ISER) developed to analyse DNA array data by optimizing the selection of genes with the most significant variations in expression amongst two RNA samples. The algorithm is designed for use when little or no replication of array hybridizations is available. (AU)

FAPESP's process: 03/07244-0 - Sugarcane transcriptom
Grantee:Glaucia Mendes Souza
Support type: Research Grants - Research Partnership for Technological Innovation - PITE
FAPESP's process: 02/01167-1 - Development of molecular markers based on sugarcane ESTs for the selection of economically important characteristics
Grantee:Anete Pereira de Souza
Support type: Research Grants - Research Partnership for Technological Innovation - PITE