Alessandra (Sandy) Cabassi
Alessandra (Sandy) Cabassi
Data Scientist, Google
Bestätigte E-Mail-Adresse bei google.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Permutation tests for the equality of covariance operators of functional data with applications to evolutionary biology
A Cabassi, D Pigoli, P Secchi, PA Carter
Electronic Journal of Statistics 11 (2), 3815-3840, 2017
152017
Multiple kernel learning for integrative consensus clustering of ’omic datasets
A Cabassi, PDW Kirk
Bioinformatics, btaa593, 2020
42020
coca: Cluster-of-Cluster Analysis
A Cabassi, PDW Kirk
https://CRAN.R-project.org/package=coca, 2020
22020
fdcov: Analysis of Covariance Operators
A Cabassi, AB Kashlak
https://CRAN.R-project.org/package=fdcov, 2016
22016
Validation of traffic flow models on processed GPS data
A Cabassi, P Goatin
22013
Kernel learning approaches for summarising and combining posterior similarity matrices
A Cabassi, S Richardson, PDW Kirk
arXiv preprint arXiv:2009.12852, 2020
2020
Transcriptional, epigenetic and metabolic signatures in cardiometabolic syndrome defined by extreme phenotypes
D Seyres, A Cabassi, JJ Lambourne, F Burden, S Farrow, H McKinney, ...
bioRxiv preprint. bioRxiv 2020.03.06.961805., 2020
2020
Two-step penalised logistic regression for multi-omic data with an application to cardiometabolic syndrome
A Cabassi, D Seyres, M Frontini, PDW Kirk
arXiv preprint arXiv:2008.00235, 2020
2020
klic: Kernel Learning Integrative Clustering
A Cabassi, PDW Kirk, M Gönen
https://CRAN.R-project.org/package=klic, 2020
2020
Three Testing Perspectives on Connectome Data
A Cabassi, A Casa, M Fontana, M Russo, A Farcomeni
In: Canale A., Durante D., Paci L., Scarpa B. (eds) Studies in Neural Data …, 2018
2018
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