This analysis explores transcriptional and cellular changes associated with malaria infection using single-cell RNA sequencing data. Using a processed Seurat object, we examine immune cell composition, infection-associated clustering patterns, and differential gene expression, focusing on monocyte subsets. The aim is to generate publication-quality visualizations to support molecular surveillance and immunological interpretation in malaria-endemic settings.

Learn how to use dplyr to calculate mean and standard error and plot this data in a bar plot.

Results of volunteer water monitoring in 2025, Story County, Iowa.

Dillard - Week 3 Assignment (Data 772)

This is the first part of a two-part tutorial on how to reproduce the findings from Wu and colleagues.

Exploration of Data Science Methods in comparison to Latent Variables. The core objective is to identify the underlying assumptions in both domains & compare results.