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1 Ergebnisse
1
Stratification performance of multinomial-based approach on..:
Daniele Dall'Olio
;
Eric Sträng
;
Amin T. Turki
...
doi:10.1371/journal.pcbi.1011299.g004. , 2024
Link:
https://doi.org/10.1371/journal.pcbi.1011299.g004
RT Journal T1
Stratification performance of multinomial-based approach on simulated patients
UL https://suche.suub.uni-bremen.de/peid=base-ftgriffithunifig:oai:figshare.com:article_25136920&Exemplar=1&LAN=DE A1 Daniele Dall'Olio A1 Eric Sträng A1 Amin T. Turki A1 Jesse M. Tettero A1 Martje Barbus A1 Renate Schulze-Rath A1 Javier Martinez Elicegui A1 Tommaso Matteuzzi A1 Alessandra Merlotti A1 Luciana Carota A1 Claudia Sala A1 Matteo G. Della Porta A1 Enrico Giampieri A1 Jesús María Hernández-Rivas A1 Lars Bullinger A1 Gastone Castellani YR 2024 K1 Genetics K1 Biotechnology K1 Biological Sciences not elsewhere classified K1 Mathematical Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 standard workflow used K1 proposes alternative approaches K1 priori clinical knowledge K1 perform patients assignments K1 enhance genomic stratifications K1 driven classification systems K1 xlink "> onco K1 patients assignment using K1 improve patient stratification K1 hematology </ p K1 based approach emerges K1 work unfolds K1 sole role K1 simulated data K1 preferred method K1 likely component K1 hematological studies K1 good trade K1 genomics data K1 gene mutations K1 essentially determine K1 cytogenetics anomalies K1 common refinement K1 central hypergeometric K1 blood cancer K1 binary data K1 become one K1 based characterization K1 based approach K1 assign patient JF doi:10.1371/journal.pcbi.1011299.g004 LK http://dx.doi.org/https://doi.org/10.1371/journal.pcbi.1011299.g004 DO https://doi.org/10.1371/journal.pcbi.1011299.g004 SF ELIB - SuUB Bremen
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