Abstract / Description
The rapid growth of high-throughput biology and genomics over the past two decades has helped catalogue many different aspects of gene function in diverse cell types and conditions. More recently, advances in artificial intelligence and deep learning have shown tremendous promise in making accurate predictions of functional genomics measurements. These advances make it tempting to equate experimental cataloguing and accurate prediction with the growth of our theoretical understanding of biological processes - an equivalence we believe is ultimately misleading.