The genomic complexity of multiple myeloma precursor disease can be predicted using copy number signatures on targeted sequencing and SNP array data Meeting Abstract


Authors: Maclachlan, K. H.; Zheng-Lin, B.; Yellapantula, V.; Rustad, E. H.; Diamond, B.; Hultcrantz, M.; Dogan, A.; Zhang, Y.; Morgan, G.; Landgren, O.; Maura, F.
Abstract Title: The genomic complexity of multiple myeloma precursor disease can be predicted using copy number signatures on targeted sequencing and SNP array data
Meeting Title: 62nd Annual Meeting of the American Society of Hematology (ASH)
Journal Title: Blood
Volume: 136
Issue: Suppl. 1
Meeting Dates: 2020 Dec 5-8
Meeting Location: Virtual
ISSN: 0006-4971
Publisher: American Society of Hematology  
Date Published: 2020-11-05
Language: English
ACCESSION: WOS:000607547202077
DOI: 10.1182/blood-2020-139879
PROVIDER: wos
Notes: Meeting Abstract: 10 -- Source: Wos
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MSK Authors
  1. Ahmet Dogan
    454 Dogan
  2. Carl Ola Landgren
    336 Landgren
  3. Yanming Zhang
    199 Zhang
  4. Even Holth Rustad
    43 Rustad
  5. Francesco Maura
    56 Maura
  6. Benjamin Diamond
    33 Diamond
  7. Binbin Zheng
    11 Zheng