Biclustering of Expression Data
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology
Scatter Search: Methodology and Implementations in C
Scatter Search: Methodology and Implementations in C
Biclustering Algorithms for Biological Data Analysis: A Survey
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Biclustering of Expression Data Using Simulated Annealing
CBMS '05 Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems
Biclustering of Expression Data with Evolutionary Computation
IEEE Transactions on Knowledge and Data Engineering
Exploiting the Geometry of Gene Expression Patterns for Unsupervised Learning
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Shifting and scaling patterns from gene expression data
Bioinformatics
Multi-objective evolutionary biclustering of gene expression data
Pattern Recognition
Possibilistic approach for biclustering microarray data
Computers in Biology and Medicine
Computers and Operations Research
Virtual error: a new measure for evolutionary biclustering
EvoBIO'07 Proceedings of the 5th European conference on Evolutionary computation, machine learning and data mining in bioinformatics
Biclusters evaluation based on shifting and scaling patterns
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
| Hi-index | 0.00 |
A new measure to evaluate the quality of a bicluster is proposed in this paper. This measure is based on correlations among genes. Moreover, a new evolutionary metaheuristic based on Scatter Search, which uses this measure as the fitness function, is presented to obtain biclusters that contain groups de highly-correlated genes. Later, an analysis of the correlation matrix of these biclusters is made to select these groups of genes that define new biclusters with shifting and scaling patterns. Experimental results from human Bcell lymphoma are presented.