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Deep Learning for Genomics. Data-driven approaches for genomics applications in life sciences and biotechnology Upendra Kumar Devisetty

Język publikacji: angielskim
Deep Learning for Genomics. Data-driven approaches for genomics applications in life sciences and biotechnology Upendra Kumar Devisetty - okladka książki

Deep Learning for Genomics. Data-driven approaches for genomics applications in life sciences and biotechnology Upendra Kumar Devisetty - okladka książki

Autor:
Upendra Kumar Devisetty
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
270
Dostępne formaty:
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     ePub

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Deep learning has shown remarkable promise in the field of genomics; however, there is a lack of a skilled deep learning workforce in this discipline. This book will help researchers and data scientists to stand out from the rest of the crowd and solve real-world problems in genomics by developing the necessary skill set. Starting with an introduction to the essential concepts, this book highlights the power of deep learning in handling big data in genomics. First, you’ll learn about conventional genomics analysis, then transition to state-of-the-art machine learning-based genomics applications, and finally dive into deep learning approaches for genomics. The book covers all of the important deep learning algorithms commonly used by the research community and goes into the details of what they are, how they work, and their practical applications in genomics. The book dedicates an entire section to operationalizing deep learning models, which will provide the necessary hands-on tutorials for researchers and any deep learning practitioners to build, tune, interpret, deploy, evaluate, and monitor deep learning models from genomics big data sets.

By the end of this book, you’ll have learned about the challenges, best practices, and pitfalls of deep learning for genomics.

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O autorze książki

Dr. Upendra Kumar Devisetty is a Senior Data Science Manager at Greenlight Biosciences where he leads a team of Bioinformatics Scientists, Data Scientists, Business Intelligence Analysts, and Project managers to support the various Bioinformatics and Data Science projects at GreenLight Biosciences and contribute to a cleaner environment, healthier people, and a stronger food supply chain.

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