Iterative signature algorithm for the analysis of large-scale gene expression data
Iterative signature algorithm for the analysis of large-scale gene expression data
We present an approach for the analysis of genome-wide expression data. Our method is designed to overcome the limitations of traditional techniques, when applied to large-scale data. Rather than alloting each gene to a single cluster, we assign both genes and conditions to context-dependent and potentially overlapping transcription modules. We …