New algorithm revolutionizes DNA microarray analysis for personalized medicine.
Cluster analysis helps us find patterns in data. This study looks at a new way to find multiple patterns in gene expression data. Instead of assuming there's only one way to group the data, the researchers suggest there could be more than one. They developed a method that looks at both the genes and the samples to find these different patterns. By using a special way to measure how similar genes are, they were able to identify multiple patterns in the data. This could help us better understand how genes work together in different situations.