Experiment Overview
| Repository ID: | FR-FCM-Z2ZW | Experiment name: | Randomization in CyTOF (nonrandomized and maximal data) | MIFlowCyt score: | 22.50% |
| Primary researcher: | Giorgos Papoutsoglou | PI/manager: | Giorgos Papoutsoglou | Uploaded by: | Giorgos Papoutsoglou |
| Experiment dates: | 2017-10-01 - | Dataset uploaded: | Mar 2019 | Last updated: | Oct 2019 |
| Keywords: | None | Manuscripts: | [31692248] |
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| Organizations: |
University of Crete, Computer Science, Heraklion, Crete (Greece)
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| Purpose: | Show that randomization can negatively affect multivariate data analysis methods such as dimensionality reduction, clustering and network reconstruction algorithms. | ||||
| Conclusion: | Randomization should be used only for visualization purposes, and never in conjunction with high-dimensional analytical tools. | ||||
| Comments: | The fcs files refer to the same PBMC data before and after randomization was applied. Please note that the non-randomized data are already normalized and the randomized data are already scaled using arcsinh with co-factor 5. | ||||
| Funding: | The research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement n. 617393; CAUSALPATH – Next Generation Causal Analysis project. | ||||
| Quality control: | None | ||||
