LDBT instead of DBTL: combining machine learning and rapid cell-free testing
Alia Clark‐ElSayed, Ian T. Harrison, Mari Olsen, John T. Lazar, Michael C. Jewett, Andrew D. Ellington
Abstract
Synthetic biology is defined by Design-Build-Test-Learn cycles. Recent advances in machine learning are changing the landscape; thus, we propose that “Learning” can precede “Design”. Moreover, adopting cell-free platforms can further accelerate “Building” and “Testing” for megascale data generation and models.
Topics & Concepts
Computer scienceMachine learningArtificial intelligenceTraining setActive learning (machine learning)Deep learningSynthetic biologyComputational learning theorySystems biologySynthetic dataGene Regulatory Network AnalysisSingle-cell and spatial transcriptomicsMachine Learning and Algorithms