David Corrêa Martins

Fabrício Martins Lopes

FM Lopes

Roberto M Cesar

English

PubMed

Lopes, Fabrício 

Martins, David 

Cesar, Roberto M

RCAAP - Repositório Científico de Acesso Aberto de Portugal

Feature selection environment for genomic applications

Fabrício Lopes

David Martins

Springer - Publisher Connector

BioMed Central
Page 1 of 1
(page number not for citation purposes)
BMC Bioinformatics
Open AccessCorrection
Feature selection environment for genomic applications
Fabrício Martins Lopes*1,2, David Corrêa Martins Jr*1,2 and 
Roberto M Cesar Jr1
Address: 1Instituto de Matemática e Estatística, Universidade de São Paulo, Rua do Matão 1010, 05508-090, São Paulo-SP, Brazil and 2COINF, 
Universidade Tecnológica Federal do Paraná, Av. Alberto Carazzai, 1640, 86300-000, Cornélio Procópio-PR, Brazil
Email: Fabrício Martins Lopes* - fabricio@utfpr.edu.br; David Corrêa Martins* - davidjr@vision.ime.usp.br; 
Roberto M Cesar - cesar@vision.ime.usp.br
* Corresponding authors    
Correction
We have found an error after the publication of this work
[1]. The error is present in the following sentence: "We
have that q = 1 is the Shannon's Entropy (extensive
entropy), q < 1 is the sub-extensive entropy and q > 1 is the
super-extensive entropy".
Where it says "sub-extensive", should be changed to
"super-extensive" and where it says "super-extensive",
should be changed to "sub-extensive".
The corrected sentence: We have that q = 1 is the Shan-
non's Entropy (extensive entropy), q < 1 is the super-
extensive entropy and q > 1 is the sub-extensive entropy.
We regret any inconvenience that this inaccuracy in the
text might have caused.
References
1. Lopes FM, Martins DC Jr, Cesar RM Jr: Feature selection environ-
ment for genomic applications.  BMC Bioinformatics 2008,
9(4511-21 [http://www.biomedcentral.com/1471-2105/9/451/].
Published: 10 September 2009
BMC Bioinformatics 2009, 10:285 doi:10.1186/1471-2105-10-285
Received: 25 August 2009
Accepted: 10 September 2009
This article is available from: http://www.biomedcentral.com/1471-2105/10/285
© 2009 Lopes et al; licensee BioMed Central Ltd. 
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), 
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Universidade de São Paulo

BMC Bioinformatics

Crossref

Erratum to: Feature selection environment for genomic applications

Abstract Background Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e., for dimensionality reduction). There are many genomic and proteomic applications that rely on feature selection to answer questions such as selecting signature genes which are informative about some biological state, e.g., normal tissues and several types of cancer; or inferring a prediction network among elements such as genes, proteins and external stimuli. In these applications, a recurrent problem is the lack of samples to perform an adequate estimate of the joint probabilities between element states. A myriad of feature selection algorithms and criterion functions have been proposed, although it is difficult to point the best solution for each application. Results The intent of this work is to provide an open-source multiplataform graphical environment for bioinformatics problems, which supports many feature selection algorithms, criterion functions and graphic visualization tools such as scatterplots, parallel coordinates and graphs. A feature selection approach for growing genetic networks from seed genes (targets or predictors) is also implemented in the system. Conclusion The proposed feature selection environment allows data analysis using several algorithms, criterion functions and graphic visualization tools. Our experiments have shown the software effectiveness in two distinct types of biological problems. Besides, the environment can be used in different pattern recognition applications, although the main concern regards bioinformatics tasks.</p

Martins David

Lopes Fabrício

Cesar Roberto M

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Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP)

  Universidade de São Paulo
 
2009
 
Feature selection environment for genomic
applications
 
 
 
http://www.producao.usp.br/handle/BDPI/32728
 
Downloaded from: Biblioteca Digital da Produção Intelectual - BDPI, Universidade de São Paulo
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BioMed Central
Page 1 of 1
(page number not for citation purposes)
BMC Bioinformatics
Open AccessCorrection
Feature selection environment for genomic applications
Fabrício Martins Lopes*1,2, David Corrêa Martins Jr*1,2 and 
Roberto M Cesar Jr1
Address: 1Instituto de Matemática e Estatística, Universidade de São Paulo, Rua do Matão 1010, 05508-090, São Paulo-SP, Brazil and 2COINF, 
Universidade Tecnológica Federal do Paraná, Av. Alberto Carazzai, 1640, 86300-000, Cornélio Procópio-PR, Brazil
Email: Fabrício Martins Lopes* - fabricio@utfpr.edu.br; David Corrêa Martins* - davidjr@vision.ime.usp.br; 
Roberto M Cesar - cesar@vision.ime.usp.br
* Corresponding authors    
Correction
We have found an error after the publication of this work
[1]. The error is present in the following sentence: "We
have that q = 1 is the Shannon's Entropy (extensive
entropy), q < 1 is the sub-extensive entropy and q > 1 is the
super-extensive entropy".
Where it says "sub-extensive", should be changed to
"super-extensive" and where it says "super-extensive",
should be changed to "sub-extensive".
The corrected sentence: We have that q = 1 is the Shan-
non's Entropy (extensive entropy), q < 1 is the super-
extensive entropy and q > 1 is the sub-extensive entropy.
We regret any inconvenience that this inaccuracy in the
text might have caused.
References
1. Lopes FM, Martins DC Jr, Cesar RM Jr: Feature selection environ-
ment for genomic applications.  BMC Bioinformatics 2008,
9(4511-21 [http://www.biomedcentral.com/1471-2105/9/451/].
Published: 10 September 2009
BMC Bioinformatics 2009, 10:285 doi:10.1186/1471-2105-10-285
Received: 25 August 2009
Accepted: 10 September 2009
This article is available from: http://www.biomedcentral.com/1471-2105/10/285
© 2009 Lopes et al; licensee BioMed Central Ltd. 
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), 
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Cesar RM Jr: Feature selection environment for genomic applications.

http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2753853

Feature selection environment for genomic applications

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Springer - Publisher Connector

Universidade de São Paulo

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Directory of Open Access Journals

Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP)

Directory of Open Access Journals