Skip Navigation


Bioinformatics Advance Access originally published online on October 25, 2005
Bioinformatics 2005 21(24):4427-4429; doi:10.1093/bioinformatics/bti729
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (Print PDF) Freely available
Right arrowOA All Versions of this Article:
21/24/4427    most recent
bti729v1
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (3)
Google Scholar
Right arrow Articles by Drummond, R. D.
Right arrow Articles by Menossi, M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Drummond, R. D.
Right arrow Articles by Menossi, M.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2005. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions{at}oxfordjournals.org
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions{at}oxfordjournals.org

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

R. D. Drummond 1,3, A. Pinheiro 2, C. S. Rocha 1 and M. Menossi 1,3,*

1Laboratório de Genoma Funcional—Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas Campinas 13083-875, PO Box 6010, Brazil
2Departmento de Estatística, Instituto de Matemática, Estatística e Computação Científica, Universidade Estadual de Campinas Campinas 13083-859, Brazil
3Departmento de Genética e Evolução, Instituto de Biologia, Universidade Estadual de Campinas Campinas 13083971, Brazil

*To whom correspondence should be addressed.

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{at}unicamp.br

Supplementary information: https://ipe.cbmeg.unicamp.br/pub/ISER

Received on May 25, 2005; revised on October 17, 2005; accepted on October 17, 2005

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.