Handbook of Machine Learning Applications for Genomics (Studies in Big Data, 103)

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Publisher ‏ : ‎ Springer; 1st ed. 2022 edition (June 24, 2022)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 228 pages
ISBN-10 ‏ : ‎ 9811691576
ISBN-13 ‏ : ‎ 978-9811691577
Item Weight ‏ : ‎ 1.13 pounds
Dimensions ‏ : ‎ 6.14 x 0.56 x 9.21 inches

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Are you interested in learning more about the intersection of machine learning and genomics? Look no further than the Handbook of Machine Learning Applications for Genomics (Studies in Big Data, 103). This comprehensive guide delves into the cutting-edge applications of machine learning in genomics, offering insights into how these technologies are revolutionizing the field.

From predicting disease risk to analyzing large-scale genomic datasets, this handbook covers a wide range of topics that are essential for anyone working in the field of genomics. Whether you’re a seasoned researcher or a newcomer to the field, this book is sure to provide valuable information and resources to help you stay current with the latest advancements in the field.

Don’t miss out on this invaluable resource for researchers, students, and professionals interested in the exciting intersection of machine learning and genomics. Order your copy of the Handbook of Machine Learning Applications for Genomics today!
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