Applying Data Warehouse Concepts to Gene Expression Data Management

Extracting biologically relevant information from DNA microarrays is a very important task for drug development and test, function annotation, and cancer diagnosis. Various clustering methods have been proposed for the analysis of gene expression data, ...

Display Omitted

• Proposed a new method for the identification of conditions specific key genes from the BLBC dataset.

Mining patterns of co-expressed genes across the subset of conditions help to narrow down the search space for the analysis of gene expression data. Identifying conditions specific key genes from the large-scale gene expression data is ...

The increasing availability of gene expression data has encouraged the development of purposely-built intelligent data analysis techniques. Grouping genes characterized by similar expression patterns is a widely accepted – and often mandatory – analysis ...