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Cytometry Masked Autoencoder: an Accurate and Interpretable Automated Immunophenotyper

Jaesik Kim,Matei Ionita,Matthew Lee,Michelle L. Mckeague,Ajinkya Pattekar,Mark M. Painter,Joost Wagenaar,Van Truong, Dylan T. Norton,Divij Mathew,Yonghyun Nam,Sokratis A. Apostolidis,Cynthia Clendenin,Patryk Orzechowski,Sang-Hyuk Jung,Jakob Woerner,Caroline A. G. Ittner,Alexandra P. Turner, Mika Esperanza,Thomas G. Dunn,Nilam S. Mangalmurti,John P. Reilly,Nuala J. Meyer,Carolyn S. Calfee,Kathleen D. Liu, Michael A. Matthy,Lamorna Brown Swigart,Ellen L. Burnham,Jeffrey Mckeehan,Sheetal Gandotra, Derek W. Russel,Kevin W. Gibbs,Karl W. Thomas, Harsh Barot,Allison R. Greenplate,E. John Wherry,Dokyoon Kim

CELL REPORTS MEDICINE（2024）

Cited 0|Views48
Key words
high-dimensional cytometry,mass cytometry,automated gating,machine learning,deep learning,representation learning,immunophenotyping
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