NEW YORK (GenomeWeb News) – Insilicos has received a $900,000 grant from the National Institute of General Medical Sciences to further develop a statistical modeling method for biomedical research.
Specifically, Insilicos will apply the funds to further development of Ensemble Learning, which is a technique that uses a committee of statistical models to make a more accurate prediction than can be achieved with a single model. The technique is particularly well-suited to large data sets of biomedical research, said Insilicos.
The Seattle-based firm said that the challenge of Ensemble Learning is that it requires extensive calculations that requires hours or even days. Insilicos believes that using the technique with cloud computing technology will “make this approach highly scalable, fast, and cost effective for a wide range of problems.”