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1 Ergebnisse
1
DAGBagM: learning directed acyclic graphs of mixed variable..:
Chowdhury, Shrabanti
;
Wang, Ru
;
Yu, Qing
...
qt9gc3k1dc. , 2022
Link:
https://escholarship.org/uc/item/9gc3k1dc
RT Journal T1
DAGBagM: learning directed acyclic graphs of mixed variables with an application to identify protein biomarkers for treatment response in ovarian cancer
UL https://suche.suub.uni-bremen.de/peid=base-ftcdlib:oai:escholarship.org:ark:_13030_qt9gc3k1dc&Exemplar=1&LAN=DE A1 Chowdhury, Shrabanti A1 Wang, Ru A1 Yu, Qing A1 Huntoon, Catherine J A1 Karnitz, Larry M A1 Kaufmann, Scott H A1 Gygi, Steven P A1 Birrer, Michael J A1 Paulovich, Amanda G A1 Peng, Jie A1 Wang, Pei PB eScholarship, University of California YR 2022 K1 Information and Computing Sciences K1 Machine Learning K1 Rare Diseases K1 Cancer K1 Ovarian Cancer K1 Good Health and Well Being K1 Biomarkers K1 Causality K1 Child K1 Computer Simulation K1 Confounding Factors K1 Epidemiologic K1 Female K1 Humans K1 Ovarian Neoplasms K1 Proteomics K1 Sensitive and resistant/refractory K1 Hill climbing K1 Bootstrap aggregation K1 Mathematical Sciences K1 Biological Sciences K1 Bioinformatics JF qt9gc3k1dc LK http://dx.doi.org/https://escholarship.org/uc/item/9gc3k1dc DO https://escholarship.org/uc/item/9gc3k1dc SF ELIB - SuUB Bremen
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