Experiment Overview

Repository ID: FR-FCM-ZZLH Experiment name: IRIS dataset MIFlowCyt score: 31.52%
Primary researcher: Francesco Boin PI/manager: Francesco Boin Uploaded by: Francesco Boin
Experiment dates: 2009-03-01 - 2014-12-01 Dataset uploaded: Jul 2015 Last updated: Jul 2015
Keywords: [T cells] [scleroderma] [immune response] Manuscripts:
Organizations: Johns Hopkins University, Baltimore, (USA)
Johns Hopkins University, Medicine, Baltimore, (USA)
Purpose: This work seeks to develop a methodology for identifying reliable biomarkers of disease activity, progression and outcome through the identification of significant associations between high-throughput flow cytometry data and interstitial lung disease in systemic sclerosis patients.
Conclusion: The combination of Conditional Random Forests and Gene Set Enrichment Analysis was successful in identifying a subset of flow cytometry variables to create a screening tool that proved effective in correctly identifying ILD patients in the training and validation data sets.
Comments: None
Funding: NIH-NIAMS
Quality control: Cytometer setup using CST in FACSDiva software.
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