Kaspar Märtens
TitleCited byYear
DNA methylome profiling of human tissues identifies global and tissue-specific methylation patterns
K Lokk, V Modhukur, B Rajashekar, K Märtens, R Mägi, R Kolde, ...
Genome biology 15 (4), 3248, 2014
1862014
Predicting quantitative traits from genome and phenome with near perfect accuracy
K Märtens, J Hallin, J Warringer, G Liti, L Parts
Nature communications 7, 11512, 2016
192016
Powerful decomposition of complex traits in a diploid model
J Hallin, K Märtens, AI Young, M Zackrisson, F Salinas, L Parts, ...
Nature communications 7, 13311, 2016
18*2016
seqlm: an MDL based method for identifying differentially methylated regions in high density methylation array data
R Kolde, K Märtens, K Lokk, S Laur, J Vilo
Bioinformatics 32 (17), 2604-2610, 2016
112016
Erratum to: DNA methylome profiling of human tissues identifies global and tissue-specific methylation patterns
K Lokk, V Modhukur, B Rajashekar, K Märtens, R Mägi, R Kolde, ...
Genome biology 17 (1), 224, 2016
22016
Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models
K Martens, K Campbell, C Yau
International Conference on Machine Learning, 4372-4381, 2019
2019
Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models
K Märtens, MK Titsias, C Yau
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
2019
Covariate Gaussian Process Latent Variable Models
K Märtens, KR Campbell, C Yau
arXiv preprint arXiv:1810.06983, 2018
2018
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Articles 1–8