Shuyi Zhang

Jan 16, 2025 | nature.com | Shuyi Zhang

AbstractPlants, with intricate molecular networks for environmental adaptation, offer groundbreaking potential for reprogramming with predictive genetic circuits. However, realizing this goal is challenging due to the long cultivation cycle of plants, as well as the lack of reproducible, quantitative methods and well-characterized genetic parts. Here, we establish a rapid (~10 days), quantitative, and predictive framework in plants.

Sep 3, 2024 | onlinelibrary.wiley.com | Tao Tan |Shuyi Zhang |Yong Zhou

Supporting Information Filename Description cjs11813-sup-0001-supinfo.pdfPDF document, 878.8 KB The accompanying Supplementary Material includes auxiliary technical lemmas, the theoretical proofs of Lemma 1 and Theorems 1–5, and additional results from our simulation studies. References , , and (2006). Manifold regularization: A geometric framework for learning from labeled and unlabeled examples. Journal of Machine Learning Research, 7(11): 2399–2434. , , , and (1998).