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Andrea Cremaschi
Andrea Cremaschi
Singapore Institute of Clinical Sciences (A*STAR)
Geverifieerd e-mailadres voor sics.a-star.edu.sg
Titel
Geciteerd door
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Jaar
Nut‐cracking behaviour in wild‐born, rehabilitated bonobos (Pan paniscus): a comprehensive study of hand‐preference, hand grips and efficiency
J Neufuss, T Humle, A Cremaschi, TL Kivell
American Journal of Primatology 79 (2), e22589, 2017
582017
Hierarchical normalized completely random measures to cluster grouped data
R Argiento, A Cremaschi, M Vannucci
Journal of the American Statistical Association, 2019
262019
A “density-based” algorithm for cluster analysis using species sampling Gaussian mixture models
R Argiento, A Cremaschi, A Guglielmi
Journal of Computational and Graphical Statistics 23 (4), 1126-1142, 2014
262014
An in vitro assay for biomarker discovery and dose prediction applied to ibrutinib plus venetoclax treatment of CLL
SS Skånland, A Cremaschi, H Bendiksen, JU Hermansen, ...
Leukemia 34 (2), 478-487, 2020
252020
Single cell profiling of phospho-protein levels in chronic lymphocytic leukemia
IK Myhrvold, A Cremaschi, JU Hermansen, GE Tjønnfjord, LA Munthe, ...
Oncotarget 9 (10), 9273, 2018
202018
bayesynergy: flexible Bayesian modelling of synergistic interaction effects in in vitro drug combination experiments
L Rønneberg, A Cremaschi, R Hanes, JM Enserink, M Zucknick
Briefings in bioinformatics 22 (6), bbab251, 2021
132021
Hierarchical normalized completely random measures for robust graphical modeling
A Cremaschi, R Argiento, K Shoemaker, C Peterson, M Vannucci
Bayesian analysis 14 (4), 1271, 2019
122019
Ex vivo drug sensitivity screening in multiple myeloma identifies drug combinations that act synergistically
M Giliberto, DB Thimiri Govinda Raj, A Cremaschi, SS SkAanland, ...
Molecular oncology 16 (6), 1241-1258, 2022
82022
In-vitro drug sensitivity screening in chronic lymphocytic leukemia (CLL) primary patient samples identifies drug candidates for precision cancer therapy
A Cremaschi, SS Skånland, A Gade, FH Schjesvold, GE Tjønnfjord, ...
Blood 132, 4676, 2018
72018
Bayesian clustering of multiple zero-inflated outcomes
B Franzolini, A Cremaschi, W van den Boom, M De Iorio
Philosophical Transactions of the Royal Society A 381 (2247), 20220145, 2023
62023
Bayesian modeling for large spatio-temporal data: an application to mobile networks
A Cadonna, A Cremaschi, A Guglielmi
Book of Short Papers SIS 2019, 691-696, 2019
52019
A Bayesian nonparametric mixture model for cluster analysis
R Argiento, A Cremaschi, A Guglielmi
Technical report Quaderno Imati CNR, 2012 3-MI, Milano. ISSN 1722-8964. 156, 2013
52013
Seemingly unrelated multi-state processes: A Bayesian semiparametric approach
A Cremaschi, R Argiento, M De Iorio, C Shirong, YS Chong, M Meaney, ...
Bayesian Analysis 18 (3), 753-775, 2023
42023
Bayesian modeling and clustering for spatio-temporal areal data: an application to Italian unemployment
A Mozdzen, A Cremaschi, A Cadonna, A Guglielmi, G Kastner
Spatial Statistics 52, 100715, 2022
42022
A Bayesian approach to study synergistic interaction effects in in-vitro drug combination experiments
A Cremaschi, A Frigessi, K Taskén, M Zucknick
arXiv preprint arXiv:1904.04901, 2019
32019
Bayesian dynamic network modelling: an application to metabolic associations in cardiovascular diseases
M Molinari, A Cremaschi, M De Iorio, N Chaturvedi, A Hughes, T Tillin
Journal of Applied Statistics, 1-25, 2022
22022
A Bayesian nonparametric approach to dynamic item‐response modeling: An application to the GUSTO cohort study
A Cremaschi, M De Iorio, Y Seng Chong, B Broekman, MJ Meaney, ...
Statistics in Medicine 40 (27), 6021-6037, 2021
22021
Drug sensitivity screening on multiple myeloma for precision cancer therapy
M Giliberto, A Cremaschi, SS Skånland, A Gade, GE Tjønnfjord, ...
Blood 132, 4677, 2018
22018
Model based clustering via Bayesian nonparametric mixture models
A CREMASCHI
Italy, 2012
22012
A change-point random partition model for large spatio-temporal datasets
A Cremaschi, A Cadonna, A Guglielmi, F Quintana
arXiv preprint arXiv:2312.12396, 2023
12023
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Artikelen 1–20