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Oxford University Press, Bioinformatics, 24(21), p. 4427-4429, 2005

DOI: 10.1093/bioinformatics/bti729

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

Journal article published in 2005 by R. D. Drummond ORCID, A. Pinheiro, C. S. Rocha, M. Menossi
This paper is available in a repository.
This paper is available in a repository.

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Abstract

b>Summary: 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. Availability: ISER is written in R language, and its code and on-line version are freely available at https://ipe.cbmeg.unicamp.br/pub/PMmA Contact: menossi@unicamp.br Supplementary information: https://ipe.cbmeg.unicamp.br/pub/ISER</inter-ref