Resumen

SERRANO RUBIO, Alejandra; MENESES VIVEROS, Amilcar; MORALES LUNA, Guillermo B.  y  PAREDES LOPEZ, Mireya. Towards BIMAX: Binary Inclusion-MAXimal Parallel Implementation for Gene Expression Analysis. Comp. y Sist. [online]. 2020, vol.24, n.1, pp.255-267.  Epub 27-Sep-2021. ISSN 2007-9737.  https://doi.org/10.13053/cys-24-1-2979.

Differential gene expression analysis and clustering techniques have been current tools to study the relation between a gene and biological processes. Since a group of genes may show co-expression under certain conditions, biclustering techniques have been used to find sets of genes sharing similar expression patterns. We present an analysis of the performance of the BIMAX: Binary Inclusion-MAXimal sequential biclustering algorithm. Its performance is evaluated using synthetic datasets. Finally, we propose a strategy of parallelization for optimizing the performance of the BIMAX using parallel programming techniques.

Palabras llave : Biclustering; clustering; gene expression; high-performance computing; parallelism.

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