Experiment Overview
| Repository ID: | FR-FCM-ZZ4E | Experiment name: | Data Normalization | MIFlowCyt score: | 25.50% |
| Primary researcher: | Jafar Taghiyar | PI/manager: | Ryan Brinkman | Uploaded by: | Jafar Taghiyar |
| Experiment dates: | 1999-04-20 - 2006-10-24 | Dataset uploaded: | Nov 2012 | Last updated: | Jan 2013 |
| Keywords: | [flow cytometry; data analysis; statistical analysis; normalization] | Manuscripts: | [19899135] [26492316] [PMC3648208] |
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| Organizations: |
BC Cancer Agency, Terry Fox Lab, Vancouver, BC (Canada)
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| Purpose: | Used to test two new developed normalization methods that remove technical between-sample variation by aligning prominent features (landmarks) in the raw data on a per-channel basis by comparing manually gated data, either individually for each sample or using static gating templates, before and after normalization. | ||||
| Conclusion: | The results show a marked improvement in the overlap between manual and static gating when the data are normalized, thereby facilitating the use of automated analyses on large flow cytometry data sets. Such automated analyses are essential for high-throughput flow cytometry. | ||||
| Comments: | This is a dataset of 30 randomly selected lymph node biopsies from a larger lymphoma dataset at the British Columbia Cancer Agency | ||||
| Funding: | Not disclosed | ||||
| Quality control: | None | ||||
