Unsupervised graph-based visualization of variational autoencoder latent spaces reveals hidden multiple myeloma subtypes Meeting Abstract


Authors: Simhal, A. K.; Elkin, R.; Firestone, R. S.; Oh, J. H.; Deasy, J. O.
Abstract Title: Unsupervised graph-based visualization of variational autoencoder latent spaces reveals hidden multiple myeloma subtypes
Meeting Title: AACR Special Conference: Artificial Intelligence and Machine Learning (2025)
Journal Title: Clinical Cancer Research
Volume: 31
Issue: 13 Suppl.
Meeting Dates: 2025 Jul 10-12
Meeting Location: Montreal, Canada
ISSN: 1078-0432
Publisher: American Association for Cancer Research  
Date Published: 2025-07-10
Start Page: A031
Language: English
ACCESSION: WOS:001552286200041
DOI: 10.1158/1557-3265.Aimachine-a031
PROVIDER: wos
Notes: Meeting Abstract: A031 -- Source: Wos
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  1. Jung Hun Oh
    194 Oh
  2. Joseph Owen Deasy
    533 Deasy
  3. Rena Elkin
    17 Elkin
  4. Anish Kumar Simhal
    17 Simhal