PLAPIQUI 05457
PLANTA PILOTO DE INGENIERIA QUIMICA
Unidad Ejecutora - UE
artículos
Título:
BAT: A new Biclustering Analysis Toolbox
Autor/es:
GALLO, CRISTIAN A.; DUSSAUT, JULIETA S.; CARBALLIDO, JESSICA A.; PONZONI, IGNACIO
Revista:
LECTURE NOTES IN COMPUTER SCIENCE
Editorial:
Springer- Verlag
Referencias:
Lugar: Berlín, Alemania; Año: 2010 vol. 6268 p. 67 - 71
ISSN:
0302-9743
Resumen:
<!--
/* Font Definitions */
@font-face
{font-family:Times;
panose-1:2 2 6 3 5 4 5 2 3 4;
mso-font-charset:0;
mso-generic-font-family:roman;
mso-font-pitch:variable;
mso-font-signature:-536855809 -1073711039 9 0 511 0;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
{mso-style-parent:"";
margin:0cm;
margin-bottom:.0001pt;
text-align:justify;
text-indent:11.35pt;
mso-pagination:widow-orphan;
mso-layout-grid-align:none;
punctuation-wrap:simple;
text-autospace:none;
font-size:10.0pt;
font-family:Times;
mso-fareast-font-family:"Times New Roman";
mso-fareast-language:ZH-CN;}
@page Section1
{size:612.0pt 792.0pt;
margin:72.0pt 90.0pt 72.0pt 90.0pt;
mso-header-margin:36.0pt;
mso-footer-margin:36.0pt;
mso-paper-source:0;}
div.Section1
{page:Section1;}
-->
In this paper, a new biclustering analysis
toolbox called BAT, which is based on the BiHEA (Biclustering via a Hybrid
Evolutionary Algorithm), is presented. The BiHEA is a memetic approach that
integrates a Multi-Objective Evolutionary Algorithm (MOEA) with a local search technique
in order to perform microarray biclustering. This method simultaneously
considers several goals for optimization, giving as a result a set of
biclusters that present a satisfactory trade-off between all of them. The novel
software introduced in this article provides the possibility of running the
BiHEA along with several pre-processing facilities for the input data and different
visualization and statistical tools for the analysis of the biclusters.
