Statistics And Data Analysis For Microarrays Using R And Bioconductor
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Statistics and Data Analysis for Microarrays Using R and Bioconductor
Author | : Sorin Draghici |
Publsiher | : CRC Press |
Total Pages | : 1036 |
Release | : 2016-04-19 |
Genre | : Computers |
ISBN | : 9781439809761 |
Download Statistics and Data Analysis for Microarrays Using R and Bioconductor Book in PDF, Epub and Kindle
Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy formalisms, and cryptic notations, the text takes a hands-on,
Microarray Data
Author | : Shailaja R. Deshmukh,Sudha G. Purohit |
Publsiher | : Alpha Science International, Limited |
Total Pages | : 354 |
Release | : 2007 |
Genre | : Business & Economics |
ISBN | : STANFORD:36105131675089 |
Download Microarray Data Book in PDF, Epub and Kindle
Functional Genomics, a branch of bioinformatics, is essentially an interdisciplinary subject in which biologists, statisticians and computer experts interact to analyze the microarray data. This book caters to the needs of all the three disciplines. For biologists and computer scientists, it explains concepts of statistics and statistical inference. For Biologists and Statisticians, it provides annotated R programs to analyze microarray data. For Statisticians and Computer scientists, it explains basics of biology relevant to microarray experiment. Thus, the book will be useful to scientists from all the three disciplines, with not much knowledge of other disciplines, to analyze microarray data and interpret the results.
Molecular Data Analysis Using R
Author | : Csaba Ortutay,Zsuzsanna Ortutay |
Publsiher | : John Wiley & Sons |
Total Pages | : 354 |
Release | : 2017-02-06 |
Genre | : Medical |
ISBN | : 9781119165026 |
Download Molecular Data Analysis Using R Book in PDF, Epub and Kindle
This book addresses the difficulties experienced by wet lab researchers with the statistical analysis of molecular biology related data. The authors explain how to use R and Bioconductor for the analysis of experimental data in the field of molecular biology. The content is based upon two university courses for bioinformatics and experimental biology students (Biological Data Analysis with R and High-throughput Data Analysis with R). The material is divided into chapters based upon the experimental methods used in the laboratories. Key features include: • Broad appeal--the authors target their material to researchers in several levels, ensuring that the basics are always covered. • First book to explain how to use R and Bioconductor for the analysis of several types of experimental data in the field of molecular biology. • Focuses on R and Bioconductor, which are widely used for data analysis. One great benefit of R and Bioconductor is that there is a vast user community and very active discussion in place, in addition to the practice of sharing codes. Further, R is the platform for implementing new analysis approaches, therefore novel methods are available early for R users.
Bioinformatics and Computational Biology Solutions Using R and Bioconductor
Author | : Robert Gentleman,Vincent Carey,Wolfgang Huber,Rafael Irizarry,Sandrine Dudoit |
Publsiher | : Springer Science & Business Media |
Total Pages | : 478 |
Release | : 2005-12-29 |
Genre | : Computers |
ISBN | : 9780387293622 |
Download Bioinformatics and Computational Biology Solutions Using R and Bioconductor Book in PDF, Epub and Kindle
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 with publicly available data, and a major section of the book is devoted to fully worked case studies. Code underlying all of the computations that are shown is made available on a companion website, and readers can reproduce every number, figure, and table on their own computers.
Data Analysis for the Life Sciences with R
Author | : Rafael A. Irizarry,Michael I. Love |
Publsiher | : CRC Press |
Total Pages | : 461 |
Release | : 2016-10-04 |
Genre | : Mathematics |
ISBN | : 9781498775861 |
Download Data Analysis for the Life Sciences with R Book in PDF, Epub and Kindle
This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.
The Analysis of Gene Expression Data
Author | : Giovanni Parmigiani,Elizabeth S. Garett,Rafael A. Irizarry,Scott L. Zeger |
Publsiher | : Springer Science & Business Media |
Total Pages | : 456 |
Release | : 2006-04-11 |
Genre | : Medical |
ISBN | : 9780387216799 |
Download The Analysis of Gene Expression Data Book in PDF, Epub and Kindle
This book presents practical approaches for the analysis of data from gene expression micro-arrays. It describes the conceptual and methodological underpinning for a statistical tool and its implementation in software. The book includes coverage of various packages that are part of the Bioconductor project and several related R tools. The materials presented cover a range of software tools designed for varied audiences.
Microarray Image and Data Analysis
Author | : Luis Rueda |
Publsiher | : CRC Press |
Total Pages | : 520 |
Release | : 2018-09-03 |
Genre | : Science |
ISBN | : 9781466586871 |
Download Microarray Image and Data Analysis Book in PDF, Epub and Kindle
Microarray Image and Data Analysis: Theory and Practice is a compilation of the latest and greatest microarray image and data analysis methods from the multidisciplinary international research community. Delivering a detailed discussion of the biological aspects and applications of microarrays, the book: Describes the key stages of image processing, gridding, segmentation, compression, quantification, and normalization Features cutting-edge approaches to clustering, biclustering, and the reconstruction of regulatory networks Covers different types of microarrays such as DNA, protein, tissue, and low- and high-density oligonucleotide arrays Examines the current state of various microarray technologies, including their availability and affordability Explains how data generated by microarray experiments are analyzed to obtain meaningful biological conclusions An essential reference for academia and industry, Microarray Image and Data Analysis: Theory and Practice provides readers with valuable tools and techniques that extend to a wide range of biological studies and microarray platforms.
RNA seq Data Analysis
Author | : Eija Korpelainen,Jarno Tuimala,Panu Somervuo,Mikael Huss,Garry Wong |
Publsiher | : CRC Press |
Total Pages | : 322 |
Release | : 2014-09-19 |
Genre | : Mathematics |
ISBN | : 9781466595019 |
Download RNA seq Data Analysis Book in PDF, Epub and Kindle
The State of the Art in Transcriptome AnalysisRNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. RNA-seq Data Analysis: A Practical Approach enables researchers to examine differential expression at gene, exon, and transcript le