The R programming language is approaching its 30th birthday, and in the last three decades
it has achieved a prominent role in statistics, bioinformatics, and data science in general. It …

Abstract limma is an R/Bioconductor software package that provides an integrated solution
for analysing data from gene expression experiments. It contains rich features for handling …

The MetaboAnalyst web application has been widely used for metabolomics data analysis
and interpretation. Despite its user-friendliness, the web interface has presented its inherent …

The Gviz package offers a flexible framework to visualize genomic data in the context of a
variety of different genome annotation features. Being tightly embedded in the Bioconductor …

Given concerns about the reproducibility of scientific findings, neuroimaging must define
best practices for data analysis, results reporting, and algorithm and data sharing to promote …

As computational work becomes more and more integral to many aspects of scientific
research, computational reproducibility has become an issue of increasing importance to …

This is a book on data analysis with a specific focus on the practice of predictive modeling.
The term predictive modeling may stir associations such as machine learning, pattern …

Quickly and Easily Write Dynamic Documents Suitable for both beginners and advanced
users, Dynamic Documents with R and knitr, Second Edition makes writing statistical reports …

We demonstrate a method for the prediction of chemotherapeutic response in patients using
only before-treatment baseline tumor gene expression data. First, we fitted models for whole …

RNA sequencing (RNA-seq) has been rapidly adopted for the profiling of transcriptomes in
many areas of biology, including studies into gene regulation, development and disease. Of …