In studies on HSCT Kaplan–Meier (KM) estimates of survival curves and Cox proportional hazard models are widely used to describe survival trends and identify significant prognostic factors. All these ...

This workshop is hands-on and intended for beginners; no previous knowledge of data analysis and/or R is required. This session will cover the following topics for R: data preparation, descriptive ...

The RNA-seq platform 1,2 addresses a multitude of applications, including relative expression analyses, alternative splicing, discovery of novel transcripts and isoforms, RNA editing, allele-specific ...

In a data-driven world, the ability to analyze and interpret information is critical. Harvard University’s Professional ...

The R system consists of a scripting language, an interactive command shell and a large library of mathematical functions that can be used for data analysis. Although R has been around for many years, ...

Before you start analyzing, you might want to take a look at your data object’s structure and a few row entries. If it’s a 2-dimensional table of data stored in an R data frame object with rows and ...

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable if ...

In January I wrote about using Macdown to write in Markdown, a convention for writing in plain text while encoding the structure of your document—headers, block quotes, lists, footnotes, etc.—using ...

Data and analytics professionals seem to be at the center of the next big race for talent. In 2015, there was a surplus of people with data science skills. Now there’s a significant shortage. By 2020, ...