Modern Statistics for Modern Biology

Modern Statistics for Modern Biology
Author :
Publisher : Cambridge University Press
Total Pages : 407
Release :
ISBN-10 : 9781108427029
ISBN-13 : 1108427022
Rating : 4/5 (29 Downloads)

Book Synopsis Modern Statistics for Modern Biology by : SUSAN. HUBER HOLMES (WOLFGANG.)

Download or read book Modern Statistics for Modern Biology written by SUSAN. HUBER HOLMES (WOLFGANG.) and published by Cambridge University Press. This book was released on 2018 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Modern Statistics for Modern Biology Related Books

Modern Statistics for Modern Biology
Language: en
Pages: 407
Authors: SUSAN. HUBER HOLMES (WOLFGANG.)
Categories:
Type: BOOK - Published: 2018 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Statistical Bioinformatics with R
Language: en
Pages: 337
Authors: Sunil K. Mathur
Categories: Mathematics
Type: BOOK - Published: 2009-12-21 - Publisher: Academic Press

DOWNLOAD EBOOK

Statistical Bioinformatics provides a balanced treatment of statistical theory in the context of bioinformatics applications. Designed for a one or two semester
R Programming for Bioinformatics
Language: id
Pages: 328
Authors: Robert Gentleman
Categories: Mathematics
Type: BOOK - Published: 2008-07-14 - Publisher: CRC Press

DOWNLOAD EBOOK

Due to its data handling and modeling capabilities as well as its flexibility, R is becoming the most widely used software in bioinformatics. R Programming for
Bioinformatics and Computational Biology Solutions Using R and Bioconductor
Language: en
Pages: 478
Authors: Robert Gentleman
Categories: Computers
Type: BOOK - Published: 2005-12-29 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Full four-color book. Some of the editors created the Bioconductor project and Robert Gentleman is one of the two originators of R. All methods are illustrated
Statistical Methods in Bioinformatics
Language: en
Pages: 616
Authors: Warren J. Ewens
Categories: Science
Type: BOOK - Published: 2005-09-30 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Advances in computers and biotechnology have had a profound impact on biomedical research, and as a result complex data sets can now be generated to address ext