| SoilGrids250m: Global gridded soil information based on machine learning T Hengl, J Mendes de Jesus, GBM Heuvelink, M Ruiperez Gonzalez, ... PLoS one 12 (2), e0169748, 2017 | 1017 | 2017 |
| ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R MN Wright, A Ziegler Journal of Statistical Software 77 (1), 1-17, 2017 | 882 | 2017 |
| Hyperparameters and tuning strategies for random forest P Probst, MN Wright, AL Boulesteix Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 (3 …, 2019 | 203 | 2019 |
| Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables T Hengl, M Nussbaum, MN Wright, GBM Heuvelink, B Gräler PeerJ 6, e5518, 2018 | 128 | 2018 |
| The revival of the Gini importance? S Nembrini, IR König, MN Wright Bioinformatics 34 (21), 3711-3718, 2018 | 111 | 2018 |
| Unbiased split variable selection for random survival forests using maximally selected rank statistics MN Wright, T Dankowski, A Ziegler Statistics in medicine 36 (8), 1272-1284, 2017 | 62* | 2017 |
| Clinical presentation and long-term outcome of 144 patients with microscopic polyangiitis in a monocentric German cohort JH Schirmer, MN Wright, R Vonthein, K Herrmann, B Nölle, M Both, ... Rheumatology 55 (1), 71-79, 2016 | 62 | 2016 |
| Myeloperoxidase–antineutrophil cytoplasmic antibody (ANCA)–positive granulomatosis with polyangiitis (Wegener's) is a clinically distinct subset of ANCA‐associated vasculitis … JH Schirmer, MN Wright, K Herrmann, M Laudien, B Nölle, ... Arthritis & Rheumatology 68 (12), 2953-2963, 2016 | 56* | 2016 |
| Do little interactions get lost in dark random forests? MN Wright, A Ziegler, IR König BMC bioinformatics 17 (1), 145, 2016 | 53 | 2016 |
| On the use of Harrell’s C for clinical risk prediction via random survival forests M Schmid, MN Wright, A Ziegler Expert Systems with Applications 63, 450-459, 2016 | 42 | 2016 |
| Low-level mitochondrial heteroplasmy modulates DNA replication, glucose metabolism and lifespan in mice M Hirose, P Schilf, Y Gupta, K Zarse, A Künstner, A Fähnrich, H Busch, ... Scientific reports 8 (1), 1-15, 2018 | 17 | 2018 |
| Lifespan effects of mitochondrial mutations M Hirose, P Schilf, Y Gupta, MN Wright, O Jöhren, AE Wagner, C Sina, ... Nature 540 (7633), E13-E14, 2016 | 10 | 2016 |
| Statistical learning approaches in the genetic epidemiology of complex diseases AL Boulesteix, MN Wright, S Hoffmann, IR König Human Genetics 139 (1), 73-84, 2020 | 7 | 2020 |
| Decomposition of 3-way arrays: A comparison of different PARAFAC algorithms C Paulick, MN Wright, R Verleger, K Keller Chemometrics and Intelligent Laboratory Systems 137, 97-109, 2014 | 7 | 2014 |
| Splitting on categorical predictors in random forests MN Wright, IR König PeerJ 7, e6339, 2019 | 6 | 2019 |
| Support Vector Machines for Survival Analysis with R. CJK Fouodo, IR König, C Weihs, A Ziegler, MN Wright R Journal 10 (1), 2018 | 5 | 2018 |
| Preprocessing and quality control for whole-genome sequences from the Illumina HiSeq X platform MN Wright, D Gola, A Ziegler Statistical Human Genetics, 629-647, 2017 | 5 | 2017 |
| Block Forests: random forests for blocks of clinical and omics covariate data R Hornung, MN Wright BMC bioinformatics 20 (1), 358, 2019 | 4 | 2019 |
| Testing Conditional Independence in Supervised Learning Algorithms. DS Watson, MN Wright arXiv preprint arXiv, 2019 | 4* | 2019 |
| Package ‘grf’ J Tibshirani, S Athey, S Wager, R Friedberg, L Miner, M Wright, ... Récupéré sur Comprehensive R Archive Network: https://cran. rproject. org …, 2018 | 3 | 2018 |
