It takes the average reader 4 hours and 32 minutes to read Big Data Analytics in Oncology with R by Atanu Bhattacharjee
Assuming a reading speed of 250 words per minute. Learn more
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.
Big Data Analytics in Oncology with R by Atanu Bhattacharjee is 271 pages long, and a total of 68,021 words.
This makes it 91% the length of the average book. It also has 83% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 6 hours and 11 minutes to read Big Data Analytics in Oncology with R aloud.
Big Data Analytics in Oncology with R is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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