Identification of high‐dimensional omics‐derived predictors for tumor growth dynamics using machine learning and pharmacometric modeling

Autor: Laura B. Zwep, Kevin L. W. Duisters, Martijn Jansen, Tingjie Guo, Jacqueline J. Meulman, Parth J. Upadhyay, J. G. Coen vanHasselt

Publikováno v: CPT: Pharmacometrics & Systems Pharmacology, Vol 10, Iss 4, Pp 350-361 (2021)

Abstract Pharmacometric modeling can capture tumor growth inhibition (TGI) dynamics and variability. These approaches do not usually consider covariates in high‐dimensional settings, whereas high‐dimensional molecular profiling technologies (“o

Externí odkaz: https://doaj.org/article/b569bda0fd6a4dffa8e75e560977a350

Identification of high‐dimensional omics‐derived predictors for tumor growth dynamics using machine learning and pharmacometric modeling

Autor: Jacqueline J. Meulman, J. G. Coen van Hasselt, Kevin Duisters, Martijn Jansen, Laura B Zwep, Tingjie Guo, Parth J. Upadhyay

Publikováno v: CPT: Pharmacometrics & Systems Pharmacology
CPT: Pharmacometrics & Systems Pharmacology, 10(4), 350-361. Wiley
CPT: Pharmacometrics & Systems Pharmacology, Vol 10, Iss 4, Pp 350-361 (2021)

Pharmacometric modeling can capture tumor growth inhibition (TGI) dynamics and variability. These approaches do not usually consider covariates in high‐dimensional settings, whereas high‐dimensional molecular profiling technologies (“omics”)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8556d07fa52692df7b726d959f530aea
http://europepmc.org/articles/PMC8099445

Multiple moderator meta-analysis using the R-package Meta-CART

Autor: Elise Dusseldorp, Jacqueline J. Meulman, Xinru Li, Xiaogang Su

Publikováno v: Behavior Research Methods
Behavior Research Methods, 52(6), 2657-2673. SPRINGER

In meta-analysis, heterogeneity often exists between studies. Knowledge about study features (i.e., moderators) that can explain the heterogeneity in effect sizes can be useful for researchers to assess the effectiveness of existing interventions and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::706f7fcd94cecbf39c857a8757c626b9
http://europepmc.org/articles/PMC7725699

Mapping Networks and Trees with Multidimensional Scaling of Proximities

Autor: Jacqueline J. Meulman, Frank M.T.A. Busing, Willem J. Heiser

Publikováno v: Advanced Studies in Behaviormetrics and Data Science ISBN: 9789811526992

Network methodology typically has two separate stages: (1) constructing a graph from relational data, and (2) drawing the graph on a map to comprehend its structure. Multidimensional scaling (MDS) is discussed as a distance-driven graph drawing metho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7c31670ad2aeb5560d2ba963a447ca8a
https://doi.org/10.1007/978-981-15-2700-5_24

Reliable single chip genotyping with semi-parametric log-concave mixtures.

Autor: Ralph C A Rippe, Jacqueline J Meulman, Paul H C Eilers

Publikováno v: PLoS ONE, Vol 7, Iss 10, p e46267 (2012)

The common approach to SNP genotyping is to use (model-based) clustering per individual SNP, on a set of arrays. Genotyping all SNPs on a single array is much more attractive, in terms of flexibility, stability and applicability, when developing new

Externí odkaz: https://doaj.org/article/13e103951eb64d5f9e821f4b4aba50b3