£109.07

Springer Statistical Modelling and Machine Learning Bioinformatics

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Description

Explore the intersection of biology and data science with this comprehensive text from Springer. This book examines the latest research in bioinformatics, statistics, and machine learning, providing a deep look into how computing can extract meaningful knowledge from complex biological data. Readers will learn how machine learning techniques are applied to real-world challenges in fields such as drug design, gene therapy, and proteomics. The content also covers practical applications in agriculture and the development of health supplements. By focusing on the principles of statistical modelling, this work serves as a resource for understanding how intelligent systems can process biological information to drive innovation in life sciences and medicine.

Key Features

Covers latest research in bioinformatics, statistics, and machine learning to provide up-to-date scientific knowledge.

Explains how computing and machine learning tools facilitate knowledge extraction from biological data sets.

Provides insights into practical applications for drug design and the development of gene therapy.

Discusses the use of intelligent systems in proteomics and the advancement of agricultural sciences.

Explores the role of statistical modelling in creating effective health supplements and medical solutions.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 January 2020
Listed Since
22 November 2019

Barcode

No barcode data available

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