Bioconductor Case Studies (Use R!) - Image 1

£88.57

Springer Bioconductor Case Studies (Use R!)

Name: Bioconductor Case Studies (Use R!)
Brand: Springer
Price: 88.57 GBP
Availability: InStock

AI & Machine Learning

Price History & Forecast

Last 1 days • 1 data points (No recent data available)

Historical

Generating forecast...

Not enough data points to display chart (need at least 2 points)

Price Distribution

Price distribution over 1 days • 1 price levels

Days at Price

Price Analysis

Most common price: £89 (1 days, 100.0%)

Price range: £89 - £89

Price levels: 1 different prices over 1 days

Description

Bioconductor software has become a standard tool for the analysis and comprehension of data from high-throughput genomics experiments. Its application spans a broad field of technologies used in contemporary molecular biology. In this volume, the authors present a collection of cases to apply Bioconductor tools in the analysis of microarray gene expression data. Topics covered include: (1) import and preprocessing of data from various sources; (2) statistical modeling of differential gene expression; (3) biological metadata; (4) application of graphs and graph rendering; (5) machine learning for clustering and classification problems; (6) gene set enrichment analysis. Each chapter of this book describes an analysis of real data using hands-on example driven approaches. Short exercises help in the learning process and invite more advanced considerations of key topics. The book is a dynamic document. All the code shown can be executed on a local computer, and readers are able to reproduce every computation, figure, and table.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 0387772391
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 15 August 2008
Listed Since: 06 February 2008

Barcode

No barcode data available

Springer Bioconductor Case Studies (Use R!)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Bioinformatics and Computational Biology Solutions Using R and Bioconductor (Statistics for Biology and Health)

Molecular Data Analysis Using R

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

CRC Press Gene Expression Data Analysis - Statistical Book

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

Gene Expression Data Analysis: A Statistical and Machine Learning Perspective

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

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

Springer - Analysis of Gene Expression Data Methods and Software

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

Advanced Analysis Of Gene Expression Microarray Data: 1 (Science, Engineering, And Biology Informatics)

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

Omic Association Studies with R and Bioconductor - CRC Press

Computational Intelligence for Genomics Data (Advances in Biomedical Informatics)

Fundamentals of Bioinformatics and Computational Biology: Methods and Exercises in MATLAB: 6 (Modeling and Optimization in Science and Technologies)

R and Data Mining: Examples and Case Studies

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

Genomics Data Analysis for Crop Improvement (Springer Protocols Handbooks)

Essentials of Bioinformatics, Volume II: In Silico Life Sciences: Medicine

Essentials of Bioinformatics, Volume II: In Silico Life Sciences: Medicine

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

Classification Analysis of DNA Microarrays (Wiley Series in Bioinformatics)

Practical bioinformatician, the

Data Mining for Bioinformatics