| FaST linear mixed models for genome-wide association studies C Lippert, J Listgarten, Y Liu, CM Kadie, RI Davidson, D Heckerman Nature Methods 8 (10), 833-835, 2011 | 1449 | 2011 |
| Whole-genome sequencing of multiple Arabidopsis thaliana populations J Cao, K Schneeberger, S Ossowski, T Günther, S Bender, J Fitz, ... Nature genetics 43 (10), 956-963, 2011 | 1145 | 2011 |
| Improved linear mixed models for genome-wide association studies J Listgarten, C Lippert, CM Kadie, RI Davidson, E Eskin, D Heckerman Nature methods 9 (6), 525-526, 2012 | 421 | 2012 |
| 3d self-supervised methods for medical imaging A Taleb, W Loetzsch, N Danz, J Severin, T Gaertner, B Bergner, C Lippert Advances in neural information processing systems 33, 18158-18172, 2020 | 324 | 2020 |
| Time to reality check the promises of machine learning-powered precision medicine J Wilkinson, KF Arnold, EJ Murray, M van Smeden, K Carr, R Sippy, ... The Lancet Digital Health 2 (12), e677-e680, 2020 | 277 | 2020 |
| Epigenome-wide association studies without the need for cell-type composition J Zou, C Lippert, D Heckerman, M Aryee, J Listgarten Nature methods 11 (3), 309-311, 2014 | 266 | 2014 |
| Identification of individuals by trait prediction using whole-genome sequencing data C Lippert, R Sabatini, MC Maher, EY Kang, S Lee, O Arikan, A Harley, ... Proceedings of the National Academy of Sciences 114 (38), 10166-10171, 2017 | 227 | 2017 |
| Pathogenic variants damage cell composition and single cell transcription in cardiomyopathies D Reichart, EL Lindberg, H Maatz, AMA Miranda, A Viveiros, N Shvetsov, ... Science 377 (6606), eabo1984, 2022 | 220 | 2022 |
| Profiling of short-tandem-repeat disease alleles in 12,632 human whole genomes H Tang, EF Kirkness, C Lippert, WH Biggs, M Fabani, E Guzman, ... The American Journal of Human Genetics 101 (5), 700-715, 2017 | 194 | 2017 |
| Multimodal self-supervised learning for medical image analysis A Taleb, C Lippert, T Klein, M Nabi International conference on information processing in medical imaging, 661-673, 2021 | 185 | 2021 |
| A genome-to-genome analysis of associations between human genetic variation, HIV-1 sequence diversity, and viral control I Bartha, JM Carlson, CJ Brumme, PJ McLaren, ZL Brumme, M John, ... elife 2, e01123, 2013 | 166 | 2013 |
| A Lasso multi-marker mixed model for association mapping with population structure correction B Rakitsch, C Lippert, O Stegle, K Borgwardt Bioinformatics 29 (2), 206-214, 2013 | 151 | 2013 |
| LIMIX: genetic analysis of multiple traits C Lippert, FP Casale, B Rakitsch, O Stegle BioRxiv, 003905, 2014 | 140 | 2014 |
| Efficient set tests for the genetic analysis of correlated traits FP Casale, B Rakitsch, C Lippert, O Stegle Nature methods 12 (8), 755-758, 2015 | 139 | 2015 |
| easyGWAS: a cloud-based platform for comparing the results of genome-wide association studies DG Grimm, D Roqueiro, PA Salomé, S Kleeberger, B Greshake, W Zhu, ... The Plant Cell 29 (1), 5-19, 2017 | 136 | 2017 |
| Efficient inference in matrix-variate Gaussian models with iid observation noise O Stegle, C Lippert, J Mooij, N Lawrence, K Borgwardt NIPS 2011: Neural Information Processing Systems, 2011 | 131 | 2011 |
| A deep-learning algorithm to classify skin lesions from mpox virus infection AH Thieme, Y Zheng, G Machiraju, C Sadee, M Mittermaier, M Gertler, ... Nature medicine 29 (3), 738-747, 2023 | 119 | 2023 |
| Contig: Self-supervised multimodal contrastive learning for medical imaging with genetics A Taleb, M Kirchler, R Monti, C Lippert Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 107 | 2022 |
| A powerful and efficient set test for genetic markers that handles confounders J Listgarten, C Lippert, EY Kang, J Xiang, CM Kadie, D Heckerman Bioinformatics 29 (12), 1526-1533, 2013 | 105 | 2013 |
| A trustworthy AI reality-check: the lack of transparency of artificial intelligence products in healthcare J Fehr, B Citro, R Malpani, C Lippert, VI Madai Frontiers in Digital Health 6, 1267290, 2024 | 100 | 2024 |
David HeckermanMicrosoft ResearchVerified email at microsoft.com
