CoINcIDe featured in editorial by Science Translational Medicine

CoINcIDE: A framework for discovery of patient subtypes across multiple datasets

We developed CoINcIDE, a meta-analysis framework for unsupervised analysis of gene expression data cohorts for diseases. Using CoINcIDE one can investigate if subgroups exist across a large database of cohorts. Our approach is unique as we are able to leverage many small-to-medium sized data sets to discover and validate gene expression based subgroups. We demonstrated CoINcIDE using a collection of breast and ovarian cancer gene expressiond data.

Read more here. The original paper was published in Genome Medicine.