Venn Mapping: clustering of heterologous microarray data based on the number of co-occurring differentially expressed genes


MOTIVATION To evaluate microarray data, clustering is widely used to group biological samples or genes. However, problems arise when comparing heterologous databases. As the clustering algorithm searches for similarities between experiments, it will most likely first separate the data sets, masking relationships that exist between samples from different… (More)
DOI: 10.1093/bioinformatics/btg282


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