High Dimensional Data Analysis in Cancer Research is popular PDF and ePub book, written by Xiaochun Li in 2008-12-19, it is a fantastic choice for those who relish reading online the Medical genre. Let's immerse ourselves in this engaging Medical book by exploring the summary and details provided below. Remember, High Dimensional Data Analysis in Cancer Research can be Read Online from any device for your convenience.
High Dimensional Data Analysis in Cancer Research Book PDF Summary
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.
Detail Book of High Dimensional Data Analysis in Cancer Research PDF
- Author : Xiaochun Li
- Release : 19 December 2008
- Publisher : Springer Science & Business Media
- ISBN : 9780387697659
- Genre : Medical
- Total Page : 164 pages
- Language : English
- PDF File Size : 20,6 Mb
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