This repository comprehensively analyzes the GEO dataset GSE94464, focusing on differential expression analysis and normalization of count matrices. The primary objective of this project is to visualize gene expression levels and identify significant changes across various conditions within the dataset.
This analysis offers insights into the molecular mechanisms and potential biomarkers associated with the conditions studied in GSE94464.
For more information about the GEO dataset, visit GEO-GSE94464.
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Data: This folder contains the original count matrices from the GEO GSE94464 dataset, allowing users to trace back to the original data source, compare results, or conduct alternative analyses. The raw data can be downloaded from Here. -
Scripts: All R scripts used for the analysis are stored in the script folder. Each script is well-documented with comments that explain each step of the process, enabling users to reproduce the analysis or adapt the scripts to other datasets. -
PLot: This folder includes visualizations, figures, and tables summarizing the key findings. Visual representations such as heat maps, volcano plots, and other graphical outputs highlight differentially expressed genes and their significance.