2023-Kim et al-preprint

[mleipold]

"Single-cell Masked Autoencoder: An Accurate and Interpretable Automated Immunophenotyper"
Jaesik Kim, Matei Ionita, Matthew Lee, Michelle McKeague, Ajinkya Pattekar, Mark Painter, Joost Wagenaar, Van Truong, Dylan Norton, Divij Mathew, Yonghyun Nam, Sokratis Apostolidis, Patryk Orzechowski, Sang-Hyuk Jung, Jakob Woerner, Yidi Huang, Nuala J. Meyer, Allison R. Greenplate, Dokyoon Kim, John Wherry
NeurIPS 2023 AI for Science Workshop 2023
https://openreview.net/forum?id=2mq6uezuGj

- will update when/if this is peer-reviewed and published

- no dataset accessions give

[mleipold]

Now a bioRxiv preprint: https://doi.org/10.1101/2024.02.13.580114

- no dataset accession given

[mleipold]

Now published:

Cell Rep Med. 2024
https://doi.org/10.1016/j.xcrm.2024.101808

- "Pennsieve: https://doi.org/10.26275/qhne-f89h"
- "Mass cytometry (CyTOF) data obtained by Immune Health, Perelman School of Medicine at the University of Pennsylvania. Whole blood was profiled with the 30-channel MAXPAR Direct Immunophenotyping Assay (MDIPA). In addition to the original protein expression data, the .fcs files contain a column describing cell identity, determined by manual gating in the OMIQ platform.

Blood from three cohorts was independently processed, resulting in three datasets deposited in three directories. Fresh blood was used for Acute2020, and cryopreserved for Vaccine and Acute2021."