Big Data Analytics in Oncology with R

ISBN-13: 9781032028767 / Angielski / Twarda / 2022 / 280 str.

India) Bhattacharjee Atanu (Centre for Cancer Epidemiology

Opis

This book is intended to provide a comprehensive coverage about survival and omics-gene expression data analysis for oncology research and to highlight some recent development in the area. It will guide to perform survival analysis with gene expression data using R & is aimed at researchers studying statistical methods in genetics.

Spis treści

1. Survival Analysis. 2. Cox Proportional Survival Analysis. 3. Parametric Survival Analysis. 4. Competing Risk Modeling in High Dimensional Data. 5. Biomarker Thresholding in High Dimensional Data. 6. High Dimensional Survival Data Analysis. 7. Frailty Models. 8. Time-Course Gene Expression Data Analysis. 9. Survival Analysis and Time-course Data Analysis. 10. Features Selection in High Dimensional Time to Event Data