Zobrazeno 1 - 10
of 380
pro vyhledávání: '"Serneels, P"'
Autor:
Serneels, Sven
A method is introduced to perform simultaneous sparse dimension reduction on two blocks of variables. Beyond dimension reduction, it also yields an estimator for multivariate regression with the capability to intrinsically deselect uninformative vari
Externí odkaz:
http://arxiv.org/abs/2411.17859
Autor:
Nóra Baligács, Giulia Albertini, Sarah C. Borrie, Lutgarde Serneels, Clare Pridans, Sriram Balusu, Bart De Strooper
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract The role of microglia in the amyloid cascade of Alzheimer’s disease (AD) is debated due to conflicting findings. Using a genetic and a pharmacological approach we demonstrate that depletion of microglia before amyloid-β (Aβ) plaque depos
Externí odkaz:
https://doaj.org/article/d881c4544e65440b800ea4bdc358d89c
Autor:
Pranav Preman, Daan Moechars, Emre Fertan, Leen Wolfs, Lutgarde Serneels, Disha Shah, Jochen Lamote, Suresh Poovathingal, An Snellinx, Renzo Mancuso, Sriram Balusu, David Klenerman, Amaia M Arranz, Mark Fiers, Bart De Strooper
Publikováno v:
EMBO Molecular Medicine, Vol 16, Iss 12, Pp 3113-3141 (2024)
Abstract The major genetic risk factor for Alzheimer’s disease (AD), APOE4, accelerates beta-amyloid (Aβ) plaque formation, but whether this is caused by APOE expressed in microglia or astrocytes is debated. We express here the human APOE isoforms
Externí odkaz:
https://doaj.org/article/8623492f8242414195b2b4f5b3e4002e
Autor:
Anika Perdok, Zoë P. Van Acker, Céline Vrancx, Ragna Sannerud, Inge Vorsters, Assunta Verrengia, Zsuzsanna Callaerts-Végh, Eline Creemers, Sara Gutiérrez Fernández, Britt D’hauw, Lutgarde Serneels, Keimpe Wierda, Lucía Chávez-Gutiérrez, Wim Annaert
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-20 (2024)
Abstract Rare mutations in the gene encoding presenilin2 (PSEN2) are known to cause familial Alzheimer’s disease (FAD). Here, we explored how altered PSEN2 expression impacts on the amyloidosis, endolysosomal abnormalities, and synaptic dysfunction
Externí odkaz:
https://doaj.org/article/a1a12efbad69467c9909a832b8fac629
Publikováno v:
Data Science in Science 2:1 (2023)
Non-fungible tokens (NFT) have recently emerged as a novel blockchain hosted financial asset class that has attracted major transaction volumes. Investment decisions rely on data and adequate preprocessing and application of analytics to them. Both o
Externí odkaz:
http://arxiv.org/abs/2210.07393
This paper reports on a two-tiered experiment designed to separately identify the selection and effort margins of pay-for-performance (P4P). At the recruitment stage, teacher labor markets were randomly assigned to a 'pay-for-percentile' or fixed-wag
Externí odkaz:
http://arxiv.org/abs/2102.00444
Autor:
Christina Glaubitz, Amélie Bazzoni, Christoph Neururer, Raphael Locher, Kata Dorbić, Jessica Caldwell, Miguel Spuch-Calvar, Laura Rodriguez Lorenzo, Sandor Balog, Vincent Serneels, Barbara Rothen-Rutishauser, Alke Petri Fink
Publikováno v:
Current Research in Food Science, Vol 9, Iss , Pp 100808- (2024)
Introducing particles as additives, specifically engineered nanoparticles, in the food industry has improved food properties. Since 2014, alongside the presence of these added particles, there has been a mandatory requirement to disclose if those add
Externí odkaz:
https://doaj.org/article/401bb1c3648d4e319293bf6b2373522a
As its name suggests, sufficient dimension reduction (SDR) targets to estimate a subspace from data that contains all information sufficient to explain a dependent variable. Ample approaches exist to SDR, some of the most recent of which rely on mini
Externí odkaz:
http://arxiv.org/abs/2012.06893
Publikováno v:
in: Comprehensive Chemometrics, 2nd Edition, Steven Brown, Roma Tauler and Beata Walczak (Eds.), Elsevier, 26 May 2020, ISBN: 9780444641656, Volume 3, Section 3.19, pages 393-430
This chapter presents an introduction to robust statistics with applications of a chemometric nature. Following a description of the basic ideas and concepts behind robust statistics, including how robust estimators can be conceived, the chapter buil
Externí odkaz:
http://arxiv.org/abs/2006.01617
The direpack package aims to establish a set of modern statistical dimension reduction techniques into the Python universe as a single, consistent package. The dimension reduction methods included resort into three categories: projection pursuit base
Externí odkaz:
http://arxiv.org/abs/2006.01635