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pro vyhledávání: '"Senar, Nuria"'
In clinical and biomedical research, multiple high-dimensional datasets are nowadays routinely collected from omics and imaging devices. Multivariate methods, such as Canonical Correlation Analysis (CCA), integrate two (or more) datasets to discover
Externí odkaz:
http://arxiv.org/abs/2310.02169
Autor:
Senar N; Department of Epidemiology & Data Science, Amsterdam School of Public Health, Amsterdam UMC, 1105 AZ Nord-Holland, The Netherlands., van de Wiel M; Department of Epidemiology & Data Science, Amsterdam School of Public Health, Amsterdam UMC, 1105 AZ Nord-Holland, The Netherlands., Zwinderman AH; Department of Epidemiology & Data Science, Amsterdam School of Public Health, Amsterdam UMC, 1105 AZ Nord-Holland, The Netherlands., Hof MH; Department of Epidemiology & Data Science, Amsterdam School of Public Health, Amsterdam UMC, 1105 AZ Nord-Holland, The Netherlands.
Publikováno v:
Bioinformatics advances [Bioinform Adv] 2024 Feb 21; Vol. 4 (1), pp. vbae021. Date of Electronic Publication: 2024 Feb 21 (Print Publication: 2024).
