Data Repository: Ischemia-Reperfusion AKI Signatures from GEO GSE126805 and GSE90865

# Ischemia-Reperfusion Induced Acute Kidney Injury (IRl AKl) Data Repository This repository contains the processed data files derived from the study of Ischemia-Reperfusion Induced Acute Kidney Injury (IRl AKl) using the GEO datasets GSE126805 and GSE90865. The data has been meticulously processed and organized to facilitate further analysis and research by the scientific community. ## Dataset Description ### GEO Datasets- **GSE126805**: This dataset comprises gene expression profiles from patients with acute kidney injury under ischemia-reperfusion conditions.- **GSE90865**: This dataset includes gene expression data related to the immune response in ischemia-reperfusion injury. ### Processed DataThe processed data includes:- **1-GEO**: Contains scripts and outputs for downloading and preprocessing the original GEO datasets.- **2-Difference**: Files related to differential expression analysis.- **3-Compare**: Data comparison results between different conditions or groups.- **4-GOKEGG**: Results from Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis.- **5-model**: Model files and outputs from predictive modeling based on the identified signatures.- **6-nomogram**: Nomogram files for clinical prediction models.- **7-CIBERSORT-disease**: Application of CIBERSORT algorithm to infer immune cell infiltration. ## Usage These processed data files are intended for researchers interested in exploring the molecular and immunological aspects of ischemia-reperfusion injury in acute kidney injury. The data can be used to validate existing models, develop new hypotheses, or integrate with other datasets for comprehensive analysis. ## Dependencies For full utilization of the data, the following tools and libraries are recommended:- **R**: For statistical analysis and data manipulation.- **Python**: For additional data processing and visualization.- **CIBERSORT**: For deconvolution of immune cell populations. ## License The data in this repository is licensed under the [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/). You are free to share and adapt the material, but must give appropriate credit, provide a link to the license, and indicate if changes were made.