Principal Component Analysis (PCA), which is used to summarize the information contained in continuous (i.e., quantitative) multivariate data by reducing the dimensionality of the data without losing ...

In Chapter 3, we introduce how to create graphs using ggplot2. This time, we will introduce line graphs. Line graphs are commonly used in Excel as well, but just like bar charts, there are several ...

Single-cell RNA sequencing (scRNA-seq) has become one of the most widely used technologies in basic biology. With the rise of scRNA-seq, the use of UMAP has become ubiquitous in publications. While ...

Introduction A proportion of people develop Long Covid after acute COVID-19, but with most studies concentrated in high-income countries (HICs), the global burden is largely unknown. Our study aims to ...

Data visualization is not just an art form but a crucial tool in the modern data analyst's arsenal, offering a compelling way to present, explore, and understand large datasets. In the context of ...

Imagine this: every single day, the world generates 2.5 quintillion bytes of data – that’s a staggering number with 18 zeros! That’s more information than was created in all of human history before ...

Microbiome samples are routinely processed by means of low-cost, high-throughput metagenomics DNA sequencing, followed by the creation of microbial community abundance profiles (Calle, 2019), where ...