Sparse time series chain graphical models for reconstructing genetic networks F Abegaz, E Wit Biostatistics 14 (3), 586-599, 2013 | 132 | 2013 |
Semiparametric estimation of conditional copulas F Abegaz, I Gijbels, N Veraverbeke Journal of Multivariate Analysis 110, 43-73, 2012 | 76 | 2012 |
Bayesian modelling of Dupuytren disease by using Gaussian copula graphical models A Mohammadi, F Abegaz, E Heuvel, EC Wit Journal of the Royal Statistical Society Series C: Applied Statistics 66 (3 …, 2017 | 59 | 2017 |
Modeling statistical dependence of Markov chains via copula models F Abegaz, UV Naik-Nimbalkar Journal of statistical planning and inference 138 (4), 1131-1146, 2008 | 50 | 2008 |
Principals about principal components in statistical genetics F Abegaz, K Chaichoompu, E Génin, DW Fardo, IR König, ... Briefings in bioinformatics 20 (6), 2200-2216, 2019 | 41 | 2019 |
Copula Gaussian graphical models with penalized ascent Monte Carlo EM algorithm F Abegaz, E Wit Statistica Neerlandica 69 (4), 419-441, 2015 | 19 | 2015 |
Dynamic copula-based Markov time series F Abegaz, UV Naik-Nimbalkar Communications in Statistics—Theory and Methods 37 (15), 2447-2460, 2008 | 19 | 2008 |
Age-related susceptibility to insulin resistance arises from a combination of CPT1B decline and lipid overload MA Vieira-Lara, MB Dommerholt, W Zhang, M Blankestijn, JC Wolters, ... BMC biology 19, 1-18, 2021 | 18 | 2021 |
A different view on fine-scale population structure in Western African populations K Chaichoompu, F Abegaz, B Cavadas, V Fernandes, B Müller-Myhsok, ... Human Genetics 139 (1), 45-59, 2020 | 18 | 2020 |
IPCAPS: an R package for iterative pruning to capture population structure K Chaichoompu, F Abegaz, S Tongsima, PJ Shaw, A Sakuntabhai, ... Source code for biology and medicine 14, 1-5, 2019 | 14 | 2019 |
An approximate marginal logistic distribution for the analysis of longitudinal ordinal data N Nooraee, F Abegaz, J Ormel, E Wit, ER van den Heuvel Biometrics 72 (1), 253-261, 2016 | 14 | 2016 |
KRIS: keen and reliable interface subroutines for bioinformatic analysis K Chaichoompu, F Abegaz, S Tongsima, PJ Shaw, A Sakuntabhai, ... R package version 1 (1), 2018 | 10 | 2018 |
Mahachie John JM F Abegaz, F Van Lishout Chaichoompu K, Bhardwaj A, Gusareva E, Wei Z, Hakonarsson H, Van Steen K, 2018 | 9 | 2018 |
Age and diet modulate the insulin-sensitizing effects of exercise: a tracer-based oral glucose tolerance test MA Vieira-Lara, AC Reijne, S Koshian, J Ciapaite, F Abegaz, ... Diabetes, db220746, 2023 | 8 | 2023 |
Epistasis detection in genome-wide screening for complex human diseases in structured populations F Abegaz, F Van Lishout, JM Mahachie John, K Chiachoompu, ... Systems Medicine 2 (1), 19-27, 2019 | 8 | 2019 |
SparseTSCGM: Sparse time series chain graphical models F Abegaz, E Wit R package version, 2016 | 8 | 2016 |
Bayesian Gaussian copula graphical modeling for Dupuytren disease A Mohammadi, F Abegaz, E Heuvel, EC Wit arXiv preprint arXiv:1501.04849, 2015 | 8 | 2015 |
Dynamic chain graph models for ordinal time series data P Behrouzi, F Abegaz, EC Wit arXiv preprint arXiv:1805.09840, 2018 | 7 | 2018 |
Performance of model-based multifactor dimensionality reduction methods for epistasis detection by controlling population structure F Abegaz, F Van Lishout, JM Mahachie John, K Chiachoompu, ... BioData Mining 14, 1-20, 2021 | 5 | 2021 |
Bistability in fatty-acid oxidation resulting from substrate inhibition F Abegaz, ACMF Martines, MA Vieira-Lara, M Rios-Morales, ... PLoS computational biology 17 (8), e1009259, 2021 | 5 | 2021 |