Tool reduces material needed to ID transcription factors regulating gene expression — ScienceDaily
Faster results. Lower costs. Fewer cells. A new mathematical method developed by researchers at Cincinnati Children’s and New York University may soon make it much easier to conduct more of the complex data analysis needed to drive advances in the exploding field of personalized medicine. Proof-of-principle results for the method are reported this month in…