Big Data Analytics in Oncology with R serves the analytical
approaches for big data analysis. There is huge progressed in
advanced computation with R. But there are several technical
challenges faced to work with big data. These challenges are with
computational aspect and work with fastest way to get computational
results. Clinical decision through genomic information and survival
outcomes are now unavoidable in cutting-edge oncology research.
This book is intended to provide a comprehensive text to work with
some recent development in the area. Features: Covers gene
expression data analysis using R and survival analysis using R
Includes bayesian in survival-gene expression analysis Discusses
competing-gene expression analysis using R Covers Bayesian on
survival with omics data This book is aimed primarily at graduates
and researchers studying survival analysis or statistical methods
in genetics.
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