Atanu Bhattacharjee

Big Data Analytics in Oncology with R (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 270
• Erscheinungstermin: 29. Dezember 2022
• Englisch
• ISBN-13: 9781000823714
• Artikelnr.: 66867384

Autorenporträt

Atanu Bhattacharjee is working as Lecturer in Medical Statistics at the University of Leicester, United Kingdom. He previously served as an Assistant Professor at the Section of Biostatistics, Centre for Cancer Epidemiology, Tata Memorial Centre, India, and the Malabar Cancer Centre, Kerala, India. He completed his Ph.D. at Gauhati University, Assam, on Bayesian Statistical Inference. He is an elected member of the International Biometric Society (Indian Region). He has published over 250 research articles in various peer-reviewed journals.

Inhaltsangabe

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