logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Methods In Statistical Genomics In The Context Of Genomewide Association Studies 1st Edition Philip Chester Cooley

  • SKU: BELL-51706516
Methods In Statistical Genomics In The Context Of Genomewide Association Studies 1st Edition Philip Chester Cooley
$ 31.00 $ 45.00 (-31%)

5.0

68 reviews

Methods In Statistical Genomics In The Context Of Genomewide Association Studies 1st Edition Philip Chester Cooley instant download after payment.

Publisher: RTI International / RTI Press
File Extension: PDF
File size: 1.1 MB
Pages: 161
Author: Philip Chester Cooley
ISBN: 9781934831168
Language: English
Year: 2016
Edition: 1

Product desciption

Methods In Statistical Genomics In The Context Of Genomewide Association Studies 1st Edition Philip Chester Cooley by Philip Chester Cooley 9781934831168 instant download after payment.

The objective of this book is to describe procedures for analyzing genome-wide association studies (GWAS). Some of the material is unpublished and contains commentary and unpublished research; other chapters (Chapters 4 through 7) have been published in other journals. Each previously published chapter investigates a different genomics model, but all focus on identifying the strengths and limitations of various statistical procedures that have been applied to different GWAS scenarios.

Related Products