Mining matrices to find relevant biclusters, subsets of rows exhibiting a coherent pattern over a subset of columns, is a critical task for a wide-set of biomedical and social applications. Since biclustering is a challenging combinatorial optimization task, existing approaches place restrictions on the allowed structure, coherence and quality of biclusters. Biclustering approaches relying on p...

Copyright: © 2015 Saber HB, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Biclustering is a methodology allowing simultaneous partitioning of a set of samples and their features into classes. Samples and features classified together are supposed to have a high relevance to each other which can be observed by intensity of their expressions. The notion of consistency for biclustering is defined using interrelation between centroids of sample and feature classes. Consis...

In this paper we propose two new algorithms based on biclustering analysis, which can be used at the basis of a recommender system for educational orientation of Russian School graduates. The first algorithm was designed to help students make a choice between different university faculties when some of their preferences are known. The second algorithm was developed for the special situation whe...

Résumé. L’analyse des données d’expression de génes dans les fragments d’ADN est un outil important utilisé dans la recherche genomique dont les objectifs principaux s’étendent de l’étude du caractére fonctionnel des génes spécifiques et leur participation dans les processus biologiques à la reconstruction de conditions des maladies et leur pronostique. Les données d’expression des génes sont a...

This paper introduces a novel hardware architecture for accelerating geometric biclustering (GBC) algorithm for genes microarray data analysis on FPGA. The proposed FPGAbased accelerator provides high throughput parallel processing capability and improves the speed of GBC computation by 30% compared to purely software implementation written in C language.

Biclustering consists in simultaneous partitioning of the set of samples and the set of their attributes (features) into subsets (classes). Samples and features classified together are supposed to have a high relevance to each other. In this paper we review the most widely used and successful biclustering techniques and their related applications. This survey is written from a theoretical viewp...