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pro vyhledávání: '"Amin, Alan Nawzad"'
Autor:
Amin, Alan Nawzad, Gruver, Nate, Kuang, Yilun, Li, Lily, Elliott, Hunter, McCarter, Calvin, Raghu, Aniruddh, Greenside, Peyton, Wilson, Andrew Gordon
To build effective therapeutics, biologists iteratively mutate antibody sequences to improve binding and stability. Proposed mutations can be informed by previous measurements or by learning from large antibody databases to predict only typical antib
Externí odkaz:
http://arxiv.org/abs/2412.07763
To make accurate predictions, understand mechanisms, and design interventions in systems of many variables, we wish to learn causal graphs from large scale data. Unfortunately the space of all possible causal graphs is enormous so scalably and accura
Externí odkaz:
http://arxiv.org/abs/2406.09177
Applying machine learning to biological sequences - DNA, RNA and protein - has enormous potential to advance human health, environmental sustainability, and fundamental biological understanding. However, many existing machine learning methods are ine
Externí odkaz:
http://arxiv.org/abs/2304.03775