Interpretable molecular decision-making with DNA-based scalable and memory-efficient tree computation
Article Details
Authors (9)
Junlan Liu
Qian Tang
Hangzhou Institute of Medicine
Yongqi Han
Jinxing Song
Fei Wang
Pei Guo
Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
Chunhai Fan
State Key Laboratory of Synergistic Chem-Bio Synthesis, School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhang Jiang Institute for Advanced Study and National Center for Translational Medicine
Weihong Tan
Institute of Molecular Medicine (IMM), Department of Nephrology, Molecular Cell Laboratory for Kidney Disease, Shanghai Peritoneal Dialysis Research Center, Uremia Diagnosis and Treatment Center, State Key Laboratory of Systems Medicine for Cancer, Renji Hospital, School of Medicine, School of Chemistry and Chemical Engineering
Da Han
Hangzhou Institute of Medicine