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Untangling IPF: An RNA-Seq Clustering Approach for IPF Endotyping

January 2024 – Present

Overview

This project investigates transcriptomic endotypes of idiopathic pulmonary fibrosis using whole blood RNA-Seq data from the Pulmonary Fibrosis Foundation Patient Registry.

Methods

• RNA-Seq quality control and normalization
• Unsupervised hierarchical clustering
• Clinical and phenotypic characterization of clusters
• Gene Set Enrichment Analysis
• Survival analysis
• Principal Component Analysis
• Support Vector Machine projection

Research Visualization

Figures & Interactive Results

Hierarchical Clustering PCA Projection Gene Set Enrichment Analysis Interactive Plotly Visualization

Research Outputs

Abstract Poster Manuscript / Publication