£151.26

CRC Press Big Data Analytics in Oncology with R - CRC Press

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Description

Big Data Analytics in Oncology with R is a comprehensive guide from CRC Press that equips researchers, statisticians, and healthcare professionals with practical methods for analysing large-scale cancer datasets using the R programming language. This book bridges the gap between theoretical data science and real-world oncology applications, providing step-by-step approaches to processing, visualising, and interpreting complex medical data. Whether you're developing predictive models for patient outcomes, identifying biomarkers, or conducting genomic analysis, this resource offers essential techniques for extracting meaningful insights from oncology big data. The R-focused methodology makes advanced analytics accessible to those already familiar with the language, whilst the oncology-specific examples ensure relevance to cancer research and clinical practice.

Key Features

Covers practical R programming methods specifically designed for analysing large oncology datasets and cancer research applications.

Includes real-world examples and case studies from oncology that demonstrate how to apply big data analytics to patient outcomes and biomarker discovery.

Published by Chapman and Hall/CRC, a trusted publisher specialising in technical and scientific literature for advanced researchers.

Provides techniques for data visualisation, predictive modelling, and statistical analysis tailored to healthcare and genomic data.

Bridges statistical theory and practical implementation, making complex big data concepts actionable for oncology professionals.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
29 December 2022
Listed Since
23 July 2022

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