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- W4285135933 abstract "This chapter is intended to outline methods and applications for machine learning (ML) in the context of protein engineering. The content of this chapter is geared toward the biologist’s perspective of ML with an emphasis on experimental design for optimized data collection. After a brief introduction, the subsequent sections of this chapter will be dedicated to following a schema to design and implement ML for problems involving protein engineering. The steps below offer a guide to this schema and the organization of this chapter in the context of protein engineering." @default.
- W4285135933 created "2022-07-14" @default.
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- W4285135933 date "2022-01-01" @default.
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- W4285135933 title "Machine Learning for Protein Engineering" @default.
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- W4285135933 doi "https://doi.org/10.1007/978-981-16-9158-4_2" @default.
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