Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Lingjaerde, Camilla"'
Autor:
Lingjærde, Camilla, Richardson, Sylvia
In recent years, network models have gained prominence for their ability to capture complex associations. In statistical omics, networks can be used to model and study the functional relationships between genes, proteins, and other types of omics dat
Externí odkaz:
http://arxiv.org/abs/2306.03212
Network models are useful tools for modelling complex associations. If a Gaussian graphical model is assumed, conditional independence is determined by the non-zero entries of the inverse covariance (precision) matrix of the data. The Bayesian graphi
Externí odkaz:
http://arxiv.org/abs/2206.11820
During Covid-19 outbreaks, school closures are employed as part of governments' non-pharmaceutical interventions around the world to reduce the number of contacts and keep the reproduction number below 1. Yet, prolonged school closures have profound
Externí odkaz:
http://arxiv.org/abs/2103.02035
Penalized regression methods such as ridge regression heavily rely on the choice of a tuning or penalty parameter, which is often computed via cross-validation. Discrepancies in the value of the penalty parameter may lead to substantial differences i
Externí odkaz:
http://arxiv.org/abs/1911.03662
Akademický článek
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Autor:
Lingjærde, Camilla1 (AUTHOR) camilla.lingjaerde@mrc-bsu.cam.ac.uk, Lien, Tonje G.2 (AUTHOR), Borgan, Ørnulf3 (AUTHOR), Bergholtz, Helga2 (AUTHOR), Glad, Ingrid K.3 (AUTHOR)
Publikováno v:
BMC Bioinformatics. 10/15/2021, Vol. 22 Issue 1, p1-22. 22p.
Autor:
Lingjærde, Camilla
Publikováno v:
Lingjærde, Camilla. Tailored Graphical Lasso for Data Integration in Gene Network Reconstruction. Master thesis, University of Oslo, 2019
Externí odkaz:
http://hdl.handle.net/10852/70065
https://www.duo.uio.no/bitstream/handle/10852/70065/1/CamillaLingjaerdeThesis.pdf
https://www.duo.uio.no/bitstream/handle/10852/70065/1/CamillaLingjaerdeThesis.pdf
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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Publikováno v:
65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS); 20200906-20200909; Berlin; DOCAbstr. 43 /20210226/
Penalized regression methods such as ridge regression heavily rely on the choice of a tuning or penalty parameter, which is often computed via cross-validation. Discrepancies in the value of the penalty parameter may lead to substantial differences i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7838619fa8a7ee37bd3c3b60463fe1d1
Additional file 3. Comparison of histograms of the non-zero prior partial correlation weights for the simulated data and the real multiomic data. The histograms show how the distribution of the prior weights in our simulations resemble the distributi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40e099a9f9830ee36c654a6c498dc334