Email updates

Keep up to date with the latest news and content from BMC Genomics and BioMed Central.

This article is part of the supplement: Proceedings of the 5th International Conference of the Brazilian Association for Bioinformatics and Computational Biology (X-meeting 2009)

Open Access Proceedings

Decreasing the number of false positives in sequence classification

Ariane Machado-Lima12, André Yoshiaki Kashiwabara3 and Alan Mitchell Durham3*

Author Affiliations

1 Escola de Artes, Ciências e Humanidades, Universidade de São Paulo, Rua Arlindo Béttio, 1000, 03828-000, São Paulo, SP, Brazil

2 Instituto de Psiquiatria, Universidade de São Paulo, R. Dr. OvÍdio Pires de Campos, 785, 01060-970, São Paulo, SP, Brazil

3 Instituto de Matemática e EstatÍstica, Universidade de São Paulo, Rua do Matão, 1010, 05508-090, São Paulo, SP, Brazil

For all author emails, please log on.

BMC Genomics 2010, 11(Suppl 5):S10  doi:10.1186/1471-2164-11-S5-S10

Published: 22 December 2010

Additional files

Additional file 1:

ROC curve for P. falciparum data This picture shows the ROC curve for the acceptor splice site prediction in P. falciparum comparing four different null models on respect of different GC contents of sequences. The tested null models were the target, the uniform, the training set distribution and the genomic background null models.

Format: PDF Size: 11KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data