Big Data Analytics in Oncology with R e-bog
436,85 DKK
(inkl. moms 546,06 DKK)
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...
E-bog
436,85 DKK
Forlag
Chapman and Hall/CRC
Udgivet
29 december 2022
Længde
254 sider
Genrer
Probability and statistics
Sprog
English
Format
epub
Beskyttelse
LCP
ISBN
9781000823714
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 RIncludes bayesian in survival-gene expression analysisDiscusses competing-gene expression analysis using RCovers Bayesian on survival with omics dataThis book is aimed primarily at graduates and researchers studying survival analysis or statistical methods in genetics.