A Probabilistic Framework for Modeling the Variability Across Federated Datasets-Reference-Cited by-同舟云学术

A Probabilistic Framework for Modeling the Variability Across Federated Datasets

Published:2021 Issue: Volume: Page:701-714
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Balelli Irene^ORCID,Silva Santiago^ORCID,Lorenzi Marco^ORCID,

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-78191-0_54

Reference19 articles.

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2. Argelaguet, R., et al.: Multi-omics factor analysis-a framework for unsupervised integration of multi-omics data sets. Mol. Syst. Biol. 14(6), e8124 (2018)

3. Chassang, G.: The impact of the EU general data protection regulation on scientific research. Ecancermedical sci. 11, (2017)

4. Cunningham, J.P., Ghahramani, Z.: Linear dimensionality reduction: survey, insights, and generalizations. J. Mach. Learn. Res. 16(1), 2859–2900 (2015)

5. Gelman, A., Hwang, J., Vehtari, A.: Understanding predictive information criteria for bayesian models. Stat. Comput. 24(6), 997–1016 (2014)

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