| Deep learning: new computational modelling techniques for genomics G Eraslan, Ž Avsec, J Gagneur, FJ Theis Nature Reviews Genetics 20 (7), 389-403, 2019 | 1113 | 2019 |
| High-definition spatial transcriptomics for in situ tissue profiling S Vickovic, G Eraslan, F Salmén, J Klughammer, L Stenbeck, D Schapiro, ... Nature methods 16 (10), 987-990, 2019 | 1000 | 2019 |
| Single-cell RNA-seq denoising using a deep count autoencoder G Eraslan, LM Simon, M Mircea, NS Mueller, FJ Theis Nature communications 10 (1), 390, 2019 | 980 | 2019 |
| Single-cell meta-analysis of SARS-CoV-2 entry genes across tissues and demographics C Muus, MD Luecken, G Eraslan, L Sikkema, A Waghray, G Heimberg, ... Nature medicine 27 (3), 546-559, 2021 | 591* | 2021 |
| The human body at cellular resolution: the NIH Human Biomolecular Atlas Program Caltech-UW TMC Cai Long lcai@ caltech. edu 21 b Shendure Jay 9 Trapnell Cole ... Nature 574 (7777), 187-192, 2019 | 462 | 2019 |
| The human and mouse enteric nervous system at single-cell resolution E Drokhlyansky, CS Smillie, N Van Wittenberghe, M Ericsson, GK Griffin, ... Cell 182 (6), 1606-1622. e23, 2020 | 431 | 2020 |
| Single-nucleus cross-tissue molecular reference maps toward understanding disease gene function G Eraslan, E Drokhlyansky, S Anand, E Fiskin, A Subramanian, M Slyper, ... Science 376 (6594), eabl4290, 2022 | 280 | 2022 |
| Single‐cell, single‐nucleus, and spatial RNA sequencing of the human liver identifies cholangiocyte and mesenchymal heterogeneity TS Andrews, J Atif, JC Liu, CT Perciani, XZ Ma, C Thoeni, M Slyper, ... Hepatology Communications 6 (4), 821-840, 2022 | 156 | 2022 |
| Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns D Czamara, G Eraslan, CM Page, J Lahti, M Lahti-Pulkkinen, ... Nature communications 10 (1), 2548, 2019 | 127 | 2019 |
| Myocyte-Specific Upregulation of ACE2 in Cardiovascular Disease: Implications for SARS-CoV-2–Mediated Myocarditis NR Tucker, M Chaffin, KC Bedi Jr, I Papangeli, AD Akkad, A Arduini, ... Circulation 142 (7), 708-710, 2020 | 117 | 2020 |
| Toward a common coordinate framework for the human body JE Rood, T Stuart, S Ghazanfar, T Biancalani, E Fisher, A Butler, ... Cell 179 (7), 1455-1467, 2019 | 100 | 2019 |
| DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning J Arloth, G Eraslan, TFM Andlauer, J Martins, S Iurato, B Kühnel, ... PLoS computational biology 16 (2), e1007616, 2020 | 71 | 2020 |
| Predicting gene expression in massively parallel reporter assays: A comparative study A Kreimer, H Zeng, MD Edwards, Y Guo, K Tian, S Shin, R Welch, ... Human mutation 38 (9), 1240-1250, 2017 | 55 | 2017 |
| Single-cell profiling of proteins and chromatin accessibility using PHAGE-ATAC E Fiskin, CA Lareau, LS Ludwig, G Eraslan, F Liu, AM Ring, RJ Xavier, ... Nature biotechnology 40 (3), 374-381, 2022 | 50 | 2022 |
| CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods Genome biology 25 (1), 53, 2024 | 24 | 2024 |
| Single-nucleus cross-tissue molecular reference maps toward understanding disease gene function. Science 376, eabl4290 G Eraslan, E Drokhlyansky, S Anand, E Fiskin, A Subramanian, M Slyper, ... | 18 | 2022 |
| and The Human Cell Atlas Lung Biological Network C Muus, MD Luecken, G Eraslan, NHLBI LungMAP Consortium Single-cell meta-analysis of SARS-CoV-2 entry genes across tissues and …, 2021 | 16 | 2021 |
| regLM: Designing realistic regulatory DNA with autoregressive language models A Lal, D Garfield, T Biancalani, G Eraslan International Conference on Research in Computational Molecular Biology, 332-335, 2024 | 12 | 2024 |
| Single cell, single nucleus and spatial RNA sequencing of the human liver identifies hepatic stellate cell and cholangiocyte heterogeneity TS Andrews, J Atif, JC Liu, CT Perciani, XZ Ma, C Thoeni, M Slyper, ... Biorxiv, 2021.03. 27.436882, 2021 | 10 | 2021 |
| DeepWAS: Directly integrating regulatory information into GWAS using deep learning supports master regulator MEF2C as risk factor for major depressive disorder G Eraslan, J Arloth, J Martins, S Iurato, D Czamara, EB Binder, FJ Theis, ... BioRxiv, 069096, 2016 | 10 | 2016 |
Fabian J TheisHelmholtz Munich, Technical University of MunichZweryfikowany adres z helmholtz-muenchen.de
