International Journal of Biomedical Data Mining
Open Access

Mourad Elloumi

Biography

Biclustering algorithms applied in classification of genomic data have two main theoretical differences compared to traditional clustering ones. First, it provides bi-dimensionality, grouping both genes and conditions together, since a group of genes can be co-regulated for a given condition but not for others. Second, it considers group overlaps, allowing genes to contribute to more than one activity. Visualizing biclustering results is a non-trivial process due to these two characteristics. Heatmaps-based techniques are considered as a standard for visualizing clustering results. 

Relevant Topics