دانلود کتاب بیوتکنولوژی مبتنی بر یادگیری ماشین و کلان داده

Biotechnology has always revolved around the collection of large datasets. Advances in the ’omics era have certainly increased the quantity and quality of this data. Now, even just a single experiment can generate an overwhelming amount of data. At the same time, emerging approaches in machine learning are helping to contextualize these datasets and provide a path forward toward making biological engineering a predictive, data-driven science. This book highlights major advances in the application of machine learning to data-driven biotechnology. This book is roughly organized according to the following topics: (1) understanding function directly from the DNA-sequence level, (2) understanding protein function, structure, and arrangement into metabolic pathways, (3) understanding whole-cell performance and ’omics data, and (4) understanding biofoundries and bioreactors. These chapters represent the current state-of-the-art for combining machine learning and big data.