Machine learning demonstrates that somatic mutations imprint invariant morphologic features in myelodysplastic syndromes

Morphologic interpretation is the standard in diagnosing myelodysplastic syndrome (MDS), but it has limitations, such as varying reliability in pathologic evaluation and lack of integration with genetic data. Somatic events shape morphologic features, but the complexity of morphologic and genetic ch...

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Shranjeno v:
Bibliografske podrobnosti
izdano v:Blood
Main Authors: Nagata, Yasunobu, Zhao, Ran, Awada, Hassan, Kerr, Cassandra M., Mirzaev, Inom, Kongkiatkamon, Sunisa, Nazha, Aziz, Makishima, Hideki, Radivoyevitch, Tomas, Scott, Jacob G., Sekeres, Mikkael A., Hobbs, Brian P., Maciejewski, Jaroslaw P.
Format: Artigo
Jezik:Inglês
Izdano: American Society of Hematology 2020
Teme:
Plenary Paper
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC7702479/
https://ncbi.nlm.nih.gov/pubmed/32961553
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1182/blood.2020005488
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