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Advanced Genetics (Hoboken, N.J.)|January 9, 2023
Facilitating Machine Learning-Guided Protein Engineering with Smart Library Design and Massively Parallel AssaysHoi Yee Chu, Alan S L WongMethods in Molecular Biology (Clifton, N.J.)|November 14, 2024
Quantifying Protein-Nucleic Acid Interactions for Engineering Useful CRISPR-Cas9 Genome-Editing VariantsHoi Yee Chu, Jiaxing Peng, Yuanbiao Mou, et al.Cell Systems|May 10, 2023
Parallel engineering and activity profiling of a base editor systemJohn H C Fong, Hoi Yee Chu, Peng Zhou, et al.Cell Systems|February 10, 2024
Accurate top protein variant discovery via low-N pick-and-validate machine learningHoi Yee Chu, John H C Fong, Dawn G L Thean, et al.BMC Evolutionary Biology|April 21, 2018
Assessing the benefits of horizontal gene transfer by laboratory evolution and genome sequencingHoi Yee Chu, Kathleen Sprouffske, Andreas WagnerThe Plant Journal : for Cell and Molecular Biology|March 30, 2011
From hormones to secondary metabolism: the emergence of metabolic gene clusters in plantsHoi Yee Chu, Eva Wegel, Anne OsbournNature Biomedical Engineering|November 23, 2023
High-throughput screening of genetic and cellular drivers of syncytium formation induced by the spike protein of SARS-CoV-2Charles W F Chan, Bei Wang, Lang Nan, et al.Molecular Cell|April 17, 2026
Rapid customization of base editors via machine learning-powered combinatorial mutagenesisJiaxing Peng, Don C T Chan, Hoi Yee Chu, et al.Cell Stem Cell|September 3, 2025
A combined enteric neuron-gastric tumor organoid reveals metabolic vulnerabilities in gastric cancerBecky K C Chan, Chu Zhang, Chi Him Poon, et al.Nature Methods|July 25, 2019
Publisher Correction: Combinatorial mutagenesis en masse optimizes the genome editing activities of SpCas9Gigi C G Choi, Peng Zhou, Chaya T L Yuen, et al.Pageof 4