Lp-Norm for Compositional Data: Exploring the CoDa L1-Norm in Penalised Regression

Autor: Jordi Saperas-Riera, Glòria Mateu-Figueras, Josep Antoni Martín-Fernández

Publikováno v: Mathematics, Vol 12, Iss 9, p 1388 (2024)

The Least Absolute Shrinkage and Selection Operator (LASSO) regression technique has proven to be a valuable tool for fitting and reducing linear models. The trend of applying LASSO to compositional data is growing, thereby expanding its applicabilit

Externí odkaz: https://doaj.org/article/84a5fd8f7128482989f254a37dc8fb4e

Enabling the use of hereditary information from pedigree tools in medical knowledge-based systems

Autor: Pablo Gay, Beatriz López, Albert Plà, Jordi Saperas, Carles Pous

Publikováno v: Recercat. Dipósit de la Recerca de Catalunya
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© Journal of Biomedical Informatics, 2013, vol. 46, núm. 4, p. 710-720
Articles publicats (ICRA)
DUGiDocs – Universitat de Girona

Display Omitted Risk assessment of developing an inherited illness using pedigree information.Methods, structured and statistic indices are defined for knowledge-based systems.Real information from a breast cancer database is used for experimentation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32539271a1b7be0411cb7cf67dca4724
https://doi.org/10.1016/j.jbi.2013.06.003