Analyzing Gene Expression and DNA Methylation Data with R - Image 1

£138.00

CRC Press Analyzing Gene Expression and DNA Methylation Data with R

Name: Analyzing Gene Expression and DNA Methylation Data with R
Brand: CRC Press
Price: 138.0 GBP
Availability: InStock

Computing & Internet

Price History & Forecast

Last 35 days • 35 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 35 days • 1 price levels

Days at Price

Price Analysis

Most common price: £138 (35 days, 100.0%)

Price range: £138 - £138

Price levels: 1 different prices over 35 days

Description

Master the complexities of genomic data with this practical guide from the Chapman and Hall/CRC Computational Biology Series. This book offers a complete analytical pipeline designed for researchers working with high-dimensional gene expression and DNA methylation data. Instead of just theory, you get a step-by-step approach that starts from raw genome-scale data and moves through essential stages of analysis. By following the methods presented, you can implement effective workflows for quality control, data pre-processing, and data mining. The book uses R programming to demonstrate these processes, utilizing both simulated and real-world datasets to ensure you can apply these skills to your own research. Whether you are conducting assessments or exploring new patterns in biological data, this resource provides the reproducible code and practical examples needed to navigate modern computational biology.

Key Features

Follow a complete analytical pipeline that guides you from raw genome-scale gene expression and DNA methylation data to final results.

Learn essential methods for quality control, data pre-processing, and data mining to ensure your genomic research is accurate.

Utilize reproducible R programs that are built using both simulated and real-world data for practical application.

Access a sequence of analytical tools specifically designed for handling high-dimensional gene expression data.

Gain hands-on experience with concrete examples that bridge the gap between raw data and biological assessment.

Product Specifications

Brand: CRC Press
Format: Hardcover
ASIN: 1498772595
Category: Books > Subjects > Computing & Internet
Domain: Amazon UK
Release Date: 28 May 2020
Listed Since: 18 January 2020

Barcode

No barcode data available

CRC Press Analyzing Gene Expression and DNA Methylation Data with R

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R (Chapman & Hall/CRC Computational Biology Series)

Gene Expression Data Analysis: A Statistical and Machine Learning Perspective

CRC Press Gene Expression Data Analysis - Statistical Book

Computational Genomics with R (Chapman & Hall/CRC Computational Biology Series)

Introduction to Bioinformatics with R: A Practical Guide for Biologists (Chapman & Hall/CRC Computational Biology Series)

Introduction to Bioinformatics with R: A Practical Guide for Biologists (Chapman & Hall/CRC Computational Biology Series)

Big Data in Omics and Imaging: Association Analysis (Chapman & Hall/CRC Computational Biology Series)

Meta-analysis and Combining Information in Genetics and Genomics (Chapman & Hall/CRC Computational Biology Series)

Gene Expression Studies Using Affymetrix Microarrays (Chapman & Hall/CRC Computational Biology Series)

Primer to Analysis of Genomic Data Using R (Use R!)

Meta-analysis and Combining Information in Genetics and Genomics (Chapman & Hall/CRC Computational Biology Series)

Statistics in Human Genetics and Molecular Biology (Chapman & Hall/CRC Texts in Statistical Science)

RNA-seq Data Analysis: A Practical Approach (Chapman & Hall/CRC Computational Biology Series)

Statistical Methods in Molecular Biology: 620

Statistics and Data Analysis for Microarrays Using R and Bioconductor (Chapman & Hall/CRC Computational Biology Series)

Multivariate Data Integration Using R: Methods and Applications with the mixOmics Package (Chapman & Hall/CRC Computational Biology Series)

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference (Chapman & Hall/CRC Computational Biology Series)

Computational Genetics: Advanced Data Analysis Programming with R and Bioconductor (Genesis Protocol: Next Generation Technology for Biological and Life Sciences)

Multivariate Data Integration Using R: Methods and Applications with the mixOmics Package (Chapman & Hall/CRC Computational Biology Series)

Next-Generation Sequencing Data Analysis

Computational Biology and Bioinformatics: Gene Regulation

Computational Biology and Bioinformatics: Gene Regulation

Statistical Analysis of Gene Expression Microarray Data (Chapman & Hall/CRC Interdisciplinary Statistics)

Omic Association Studies with R and Bioconductor - CRC Press