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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...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Blood |
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| Κύριοι συγγραφείς: | , , , , , , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
American Society of Hematology
2020
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| Θέματα: | |
| Διαθέσιμο Online: | 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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