Experiment Overview
| Repository ID: | FR-FCM-Z27U | Experiment name: | CLL Discriminative Gating (Testing Dataset2_24 Subjects) | MIFlowCyt score: | 24.00% |
| Primary researcher: | Max Qian | PI/manager: | Max Qian | Uploaded by: | Max Qian |
| Experiment dates: | 2017-06-01 - | Dataset uploaded: | Aug 2019 | Last updated: | Aug 2019 |
| Keywords: | [CLL] [automated gating] [machine learning] | Manuscripts: | [31691488] |
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| Organizations: |
J. Craig Venter Institute, La Jolla, CA (USA)
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| Purpose: | This is a dataset provided by UCSD CALM for supporting and validating machine learning analysis diagnosis of chronic lymphocytic leukemia conducted at JCVI. A manuscript on the machine learning method is being submitted to Journal of Cytometry A. All the data and metadata has been de-identified, The study has been approved by UCSD and JCVI IRB. | ||||
| Conclusion: | None | ||||
| Comments: | None | ||||
| Funding: | NIH/NCATS U01TR001801 (FlowGate), NSF XSEDE allocation MCB170008, and NIH Commons Credits on Cloud Computing CCREQ-2016-03-00006. | ||||
| Quality control: | None | ||||
