Abstract
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.
| Original language | English |
|---|---|
| Place of Publication | New York |
| Publisher | Chapman & Hall/CRC |
| Number of pages | 270 |
| Volume | 1 |
| Edition | 1 |
| ISBN (Electronic) | 1000823717, 9781003185598 |
| ISBN (Print) | 9781000823714 |
| DOIs | |
| Publication status | Published - 29 Dec 2022 |