Computational biologists at Carnegie Mellon University have devised an algorithm to rapidly sort through mountains of gene expression data to find unexpected phenomena that might merit further study.

Called “Sliding Window Inference for Network Generation,” or SWING, the algorithm uses time-series data to reveal the underlying structure ... For example, researchers might apply a drug that targets ...

5,6 Technical differences, the composition of the microarrays used, and different algorithms used for ... previously published sets of gene-expression data for diffuse large-B-cell lymphoma ...

It may complement current diagnostic algorithms and could offer a reliable platform for patients who lack access to today's state-of-the-art diagnostic work-up. Our comprehensive gene expression data ...