How Long to Read High-Dimensional Data Analysis in Cancer Research

How Long Does it Take to Read High-Dimensional Data Analysis in Cancer Research?

It takes the average reader 6 hours and 35 minutes to read High-Dimensional Data Analysis in Cancer Research by Xiaochun Li

Assuming a reading speed of 250 words per minute. Learn more

Description

Multivariate analysis is a mainstay of statistical tools in the analysis of biomedical data. It concerns with associating data matrices of n rows by p columns, with rows representing samples (or patients) and columns attributes of samples, to some response variables, e.g., patients outcome. Classically, the sample size n is much larger than p, the number of variables. The properties of statistical models have been mostly discussed under the assumption of fixed p and infinite n. The advance of biological sciences and technologies has revolutionized the process of investigations of cancer. The biomedical data collection has become more automatic and more extensive. We are in the era of p as a large fraction of n, and even much larger than n. Take proteomics as an example. Although proteomic techniques have been researched and developed for many decades to identify proteins or peptides uniquely associated with a given disease state, until recently this has been mostly a laborious process, carried out one protein at a time. The advent of high throughput proteome-wide technologies such as liquid chromatography-tandem mass spectroscopy make it possible to generate proteomic signatures that facilitate rapid development of new strategies for proteomics-based detection of disease. This poses new challenges and calls for scalable solutions to the analysis of such high dimensional data. In this volume, we will present the systematic and analytical approaches and strategies from both biostatistics and bioinformatics to the analysis of correlated and high-dimensional data.

How long is High-Dimensional Data Analysis in Cancer Research?

High-Dimensional Data Analysis in Cancer Research by Xiaochun Li is 392 pages long, and a total of 98,784 words.

This makes it 132% the length of the average book. It also has 121% more words than the average book.

How Long Does it Take to Read High-Dimensional Data Analysis in Cancer Research Aloud?

The average oral reading speed is 183 words per minute. This means it takes 8 hours and 59 minutes to read High-Dimensional Data Analysis in Cancer Research aloud.

What Reading Level is High-Dimensional Data Analysis in Cancer Research?

High-Dimensional Data Analysis in Cancer Research 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.

Where Can I Buy High-Dimensional Data Analysis in Cancer Research?

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