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2019-Leelatian et al-preprint

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mleipold

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Posts: 2095

Joined: Fri Nov 01, 2013 5:30 pm

Location: Stanford HIMC, CA, USA

Post Mon May 13, 2019 3:10 pm

2019-Leelatian et al-preprint

"High risk glioblastoma cells revealed by machine learning and single cell signaling profiles"
Nalin Leelatian, Justine Sinnaeve, Akshitkumar M. Mistry, Sierra M. Barone, Kirsten E. Diggins, Allison R. Greenplate, Kyle D. Weaver, Reid C. Thompson, Lola B. Chambless, Bret C. Mobley, Rebecca A. Ihrie, Jonathan M. Irish
bioRxiv, posted May 10, 2019
https://doi.org/10.1101/632208

- will update when/if this is peer-reviewed and published
- "Files will be made available in FlowRepository upon publication following peer review."
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mleipold

Guru

Posts: 2095

Joined: Fri Nov 01, 2013 5:30 pm

Location: Stanford HIMC, CA, USA

Post Wed Jun 24, 2020 3:54 pm

Re: 2019-Leelatian et al-preprint

Now published:
"Unsupervised Machine Learning Reveals Risk Stratifying Glioblastoma Tumor Cells"
eLife. 2020, 9, e56879
https://doi.org/10.7554/elife.56879

"Identification of risk stratifying glioblastoma cells in Dataset 1 RAPID was designed for datasets like Dataset 1, a pilot glioblastoma mass cytometry dataset including cells collected from 28 patients with isocitrate dehydrogenase (IDH) wild-type glioblastoma at the time of primary surgical resection (Supplemental Table 3). This dataset is currently available online (https://flowrepository.org/id/FR-FCM-Z24K )."

"Identification of risk stratifying B-cell leukemia cells in Dataset 2 FCS files from a previously published mass cytometry study of B-cell precursor acute lymphoblastic leukemia (BCP-ALL) by an independent lab were input into the RAPID workflow to test whether the RAPID algorithm could re-discover prognostic cell subsets in other disease settings (Good et al., 2018). Dataset 2 is available online (originally: https://github.com/kara-davis-lab/DDPR/releases, in this study: https://github.com/cytolab/RAPID)."
- 2018-Good et al-Nat Med

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