K
Kaspar Märtens
Researcher at University of Oxford
Publications - 19
Citations - 820
Kaspar Märtens is an academic researcher from University of Oxford. The author has contributed to research in topics: Dimensionality reduction & Latent variable. The author has an hindex of 6, co-authored 18 publications receiving 439 citations. Previous affiliations of Kaspar Märtens include University of Tartu.
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Journal ArticleDOI
DNA methylome profiling of human tissues identifies global and tissue-specific methylation patterns
Kaie Lokk,Kaie Lokk,Kaie Lokk,Vijayachitra Modhukur,Balaji Rajashekar,Kaspar Märtens,Reedik Mägi,Raivo Kolde,Marina Koltšina,Torbjörn K. Nilsson,Jaak Vilo,Andres Salumets,Neeme Tõnisson,Neeme Tõnisson +13 more
TL;DR: This genome-wide methylation profiling study identified tissue-specific differentially methylated regions in 17 human somatic tissues, and a clear inverse correlation is observed between promoter methylation within CpG islands and gene expression data obtained from publicly available databases.
Journal ArticleDOI
Bayesian statistics and modelling
Rens van de Schoot,Sarah Depaoli,Ruth King,Ruth King,Bianca Kramer,Kaspar Märtens,Mahlet G. Tadesse,Marina Vannucci,Andrew Gelman,Duco Veen,Joukje Willemsen,Christopher Yau,Christopher Yau +12 more
TL;DR: This Primer on Bayesian statistics summarizes the most important aspects of determining prior distributions, likelihood functions and posterior distributions, in addition to discussing different applications of the method across disciplines.
Journal ArticleDOI
Predicting quantitative traits from genome and phenome with near perfect accuracy.
TL;DR: The results prove that very accurate prediction of complex traits is possible, and suggest that additional data from families rather than reference cohorts may be more useful for this purpose.
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Powerful decomposition of complex traits in a diploid model.
Johan Hallin,Kaspar Märtens,Alexander I. Young,Martin Zackrisson,Francisco Salinas,Leopold Parts,Leopold Parts,Jonas Warringer,Jonas Warringer,Gianni Liti +9 more
TL;DR: A powerful framework for complete decomposition of trait variation into its underlying genetic causes in diploid model organisms, termed Phased Outbred Lines (POLs), is introduced.
Journal ArticleDOI
seqlm: an MDL based method for identifying differentially methylated regions in high density methylation array data
TL;DR: A novel method for DMR identification that detects the region boundaries according to the minimum description length (MDL) principle, essentially solving the problem of model selection.