A machine learning Automated Recommendation Tool for synthetic biology
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Abstract
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DOI: 10.1038/s41467-020-18008-4
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Cited by:
- Anna Gogleva & Dimitris Polychronopoulos & Matthias Pfeifer & Vladimir Poroshin & Michaël Ughetto & Matthew J. Martin & Hannah Thorpe & Aurelie Bornot & Paul D. Smith & Ben Sidders & Jonathan R. Dry &, 2022. "Knowledge graph-based recommendation framework identifies drivers of resistance in EGFR mutant non-small cell lung cancer," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
- Singh, Saurabh & Morya, Raj & Jaiswal, Durgesh Kumar & Keerthana, S. & Kim, Sang-Hyoun & Manimekalai, R. & Prudêncio de Araujo Pereira, Arthur & Verma, Jay Prakash, 2024. "Innovations and advances in enzymatic deconstruction of biomass and their sustainability analysis: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
- Amir Pandi & Christoph Diehl & Ali Yazdizadeh Kharrazi & Scott A. Scholz & Elizaveta Bobkova & Léon Faure & Maren Nattermann & David Adam & Nils Chapin & Yeganeh Foroughijabbari & Charles Moritz & Nic, 2022. "A versatile active learning workflow for optimization of genetic and metabolic networks," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
- Katharina Paulick & Simon Seidel & Christoph Lange & Annina Kemmer & Mariano Nicolas Cruz-Bournazou & André Baier & Daniel Haehn, 2022. "Promoting Sustainability through Next-Generation Biologics Drug Development," Sustainability, MDPI, vol. 14(8), pages 1-31, April.
- Jason Fontana & David Sparkman-Yager & Ian Faulkner & Ryan Cardiff & Cholpisit Kiattisewee & Aria Walls & Tommy G. Primo & Patrick C. Kinnunen & Hector Garcia Martin & Jesse G. Zalatan & James M. Caro, 2024. "Guide RNA structure design enables combinatorial CRISPRa programs for biosynthetic profiling," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
- Wang, Zhengxin & Peng, Xinggan & Xia, Ao & Shah, Akeel A. & Yan, Huchao & Huang, Yun & Zhu, Xianqing & Zhu, Xun & Liao, Qiang, 2023. "Comparison of machine learning methods for predicting the methane production from anaerobic digestion of lignocellulosic biomass," Energy, Elsevier, vol. 263(PD).
- Chase R. Freschlin & Sarah A. Fahlberg & Pete Heinzelman & Philip A. Romero, 2024. "Neural network extrapolation to distant regions of the protein fitness landscape," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
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