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) |
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| 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. | ||||
