Harvard Business School

Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python

Ouellet, Melissa, and Michael W. Toffel. "Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python." Harvard Business School Working ...
Princeton University

Getting Started in Data Analysis using Stata and R

The Stata, R, and other documents presented here provide the basic tools to get you started in data analysis. Hope you find the tutorials useful.
Nature

Inferring cellular and molecular processes in single-cell data with non-negative matrix factorization using Python, R and GenePattern Notebook implementations of CoGAPS

Non-negative matrix factorization (NMF) is an unsupervised learning method well suited to high-throughput biology. However, inferring biological processes from an NMF result still requires additional ...
Nature

Bridging the gap between R and Python in bulk transcriptomic data analysis with InMoose

Since the first human genome was sequenced in 2000, omic profiling technologies have seen their costs reduced by multiple orders of magnitude, and omic profiling is now performed routinely. Petabytes ...
InfoWorld

A beginner’s guide to using Observable JavaScript, R, and Python with Quarto

Using Quarto with Observable JavaScript is a great solution for R and Python users who want to create more interactive and visually engaging reports. There’s an intriguing new option for people who ...