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Covering Hierarchical Dirichlet Mixture Models on binary data to enhance genomic stratifications in Onco-Hematology

2023-06-29

Abstract excerpt

Onco-hematological studies are increasingly adopting statistical mixture models to support the advancement of the genetically-driven classification systems for blood cancer. Targeting enhanced patients stratification based on the sole role of molecular biology attracted much interest and contributes to bring personalized medicine closer to reality. In particular, Dirichlet processes have become the preferred metho...

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Literature Corpus work
60f0fa6b-09b0-5a75-9ecd-e26d3fd29470
DOI
10.1101/2023.06.26.546639
Open publication

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Covering Hierarchical Dirichlet Mixture Models on binary data to enhance genomic stratifications in Onco-HematologyDOI 10.1101/2023.06.26.546639
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