GEN Exclusives – Building Biology with Machine Learning
April 10, 2017
“So if we understand the powerful and intuitive nature of ML [machine learning], what has limited its application in bioengineering?
Is it just too new an idea? Probably not, seeing as early as the 1990s, thought leaders like David Haussler at UCSC and Tim Hunkapiller at Caltech were publishing papers using hidden Markov models to capture patterns in DNA and protein datasets. These patterns have subsequently propagated into PFAM and other well-established databases to classify enzymes from protein sequences. So it’s not a new idea.”