TY  - JOUR 
AU  - Dall'Olio, Daniele
AU  - Sträng, Eric
AU  - Turki, Amin T.
AU  - Tettero, Jesse M.
AU  - Barbus, Martje
AU  - Schulze-Rath, Renate
AU  - Martínez Elicegui, Javier
AU  - Matteuzzi, Tommaso
AU  - Merlotti, Alessandra
AU  - Carota, Luciana
AU  - Sala, Claudia
AU  - Della  Porta, Matteo G.
AU  - Giampieri, Enrico
AU  - Hernández Rivas, Jesús María
AU  - Bullinger, Lars
AU  - Castellani, Gastone
PY  - 2024
UR  - http://hdl.handle.net/10366/171822
AB  - [EN]Onco-hematological studies are increasingly adopting statistical mixture models to support the advancement of the genomically-driven classification systems for blood cancer. Targeting enhanced patients stratification based on the sole role of...
LA  - eng
PB  - Public Library of Science
KW  - Hematology
KW  - Leukemia
KW  - Humans
KW  - Genomics
KW  - Chromosome aberrations
KW  - Chromosome Aberrations
KW  - Leukemia, Myeloid, Acute
KW  - Genomics
KW  - Hematology
KW  - Humans
TI  - Covering hierarchical Dirichlet mixture models on binary data to enhance genomic stratifications in onco-hematology
DO  - 10.1371/journal.pcbi.1011299
T2  - PLoS computational biology
VL  - 20
M2  - e1011299
ER  -