Bayesian Inference for Gene Expression and Proteomics

Bayesian Inference for Gene Expression and Proteomics
Author :
Publisher : Cambridge University Press
Total Pages : 437
Release :
ISBN-10 : 9780521860925
ISBN-13 : 052186092X
Rating : 4/5 (92X Downloads)

Book Synopsis Bayesian Inference for Gene Expression and Proteomics by : Kim-Anh Do

Download or read book Bayesian Inference for Gene Expression and Proteomics written by Kim-Anh Do and published by Cambridge University Press. This book was released on 2006-07-24 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expert overviews of Bayesian methodology, tools and software for multi-platform high-throughput experimentation.


Bayesian Inference for Gene Expression and Proteomics Related Books

Bayesian Inference for Gene Expression and Proteomics
Language: en
Pages: 437
Authors: Kim-Anh Do
Categories: Mathematics
Type: BOOK - Published: 2006-07-24 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Expert overviews of Bayesian methodology, tools and software for multi-platform high-throughput experimentation.
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
Bioinformatics Research and Development
Language: en
Pages: 497
Authors: Sepp Hochreiter
Categories: Science
Type: BOOK - Published: 2007-05-21 - Publisher: Springer

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the First International Bioinformatics Research and Development Conference, BIRD 2007, held in Berlin, Germany
Plant Systems Biology
Language: en
Pages: 362
Authors: Sacha Baginsky
Categories: Science
Type: BOOK - Published: 2007-06-25 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This volume aims to provide a timely view of the state-of-the-art in systems biology. The editors take the opportunity to define systems biology as they and the
Modern Statistics for Modern Biology
Language: en
Pages: 407
Authors: SUSAN. HUBER HOLMES (WOLFGANG.)
Categories: Biometry
Type: BOOK - Published: 2018 - Publisher: Cambridge University Press

DOWNLOAD EBOOK