Swarm Learning for decentralized and confidential clinical machine learning S Warnat-Herresthal, H Schultze, KL Shastry, S Manamohan, ... Nature 594 (7862), 265-270, 2021 | 603 | 2021 |
Dysregulation of brain and choroid plexus cell types in severe COVID-19 AC Yang, F Kern, PM Losada, MR Agam, CA Maat, GP Schmartz, ... Nature 595 (7868), 565-571, 2021 | 538 | 2021 |
A human brain vascular atlas reveals diverse mediators of Alzheimer’s risk AC Yang, RT Vest, F Kern, DP Lee, M Agam, CA Maat, PM Losada, ... Nature 603 (7903), 885-892, 2022 | 423 | 2022 |
miRPathDB 2.0: a novel release of the miRNA Pathway Dictionary Database T Kehl, F Kern, C Backes, T Fehlmann, D Stöckel, E Meese, HP Lenhof, ... Nucleic acids research 48 (D1), D142-D147, 2020 | 166 | 2020 |
miEAA 2.0: integrating multi-species microRNA enrichment analysis and workflow management systems F Kern, T Fehlmann, J Solomon, L Schwed, N Grammes, C Backes, ... Nucleic acids research 48 (W1), W521-W528, 2020 | 161 | 2020 |
About miRNAs, miRNA seeds, target genes and target pathways T Kehl, C Backes, F Kern, T Fehlmann, N Ludwig, E Meese, HP Lenhof, ... Oncotarget 8 (63), 107167, 2017 | 151 | 2017 |
Young CSF restores oligodendrogenesis and memory in aged mice via Fgf17 T Iram, F Kern, A Kaur, S Myneni, AR Morningstar, H Shin, MA Garcia, ... Nature 605 (7910), 509-515, 2022 | 127 | 2022 |
MicroRNA in diagnosis and therapy monitoring of early-stage triple-negative breast cancer M Kahraman, A Röske, T Laufer, T Fehlmann, C Backes, F Kern, ... Scientific reports 8 (1), 11584, 2018 | 118 | 2018 |
PLSDB: advancing a comprehensive database of bacterial plasmids GP Schmartz, A Hartung, P Hirsch, F Kern, T Fehlmann, R Müller, A Keller Nucleic acids research 50 (D1), D273-D278, 2022 | 104 | 2022 |
miRTargetLink 2.0—interactive miRNA target gene and target pathway networks F Kern, E Aparicio-Puerta, Y Li, T Fehlmann, T Kehl, V Wagner, K Ray, ... Nucleic Acids Research 49 (W1), W409-W416, 2021 | 99 | 2021 |
miRCarta: a central repository for collecting miRNA candidates C Backes, T Fehlmann, F Kern, T Kehl, HP Lenhof, E Meese, A Keller Nucleic acids research 46 (D1), D160-D167, 2018 | 95 | 2018 |
Machine learning to detect Alzheimer’s disease from circulating non-coding RNAs N Ludwig, T Fehlmann, F Kern, M Gogol, W Maetzler, S Deutscher, ... Genomics, Proteomics and Bioinformatics 17 (4), 430-440, 2019 | 77 | 2019 |
miRNATissueAtlas2: an update to the human miRNA tissue atlas A Keller, L Gröger, T Tschernig, J Solomon, O Laham, N Schaum, ... Nucleic Acids Research 50 (D1), D211-D221, 2022 | 72 | 2022 |
Molecular hallmarks of heterochronic parabiosis at single-cell resolution R Pálovics, A Keller, N Schaum, W Tan, T Fehlmann, M Borja, F Kern, ... Nature 603 (7900), 309-314, 2022 | 70 | 2022 |
Common diseases alter the physiological age-related blood microRNA profile T Fehlmann, B Lehallier, N Schaum, O Hahn, M Kahraman, Y Li, ... Nature communications 11 (1), 5958, 2020 | 66 | 2020 |
Validation of human microRNA target pathways enables evaluation of target prediction tools F Kern, L Krammes, K Danz, C Diener, T Kehl, O Küchler, T Fehlmann, ... Nucleic Acids Research 49 (1), 127-144, 2021 | 48 | 2021 |
Atlas of the aging mouse brain reveals white matter as vulnerable foci O Hahn, AG Foltz, M Atkins, B Kedir, P Moran-Losada, IH Guldner, ... Cell, 2023 | 44* | 2023 |
TEPIC 2—an extended framework for transcription factor binding prediction and integrative epigenomic analysis F Schmidt, F Kern, P Ebert, N Baumgarten, MH Schulz Bioinformatics 35 (9), 1608-1609, 2019 | 40 | 2019 |
Deep sequencing of sncRNAs reveals hallmarks and regulatory modules of the transcriptome during Parkinson’s disease progression F Kern, T Fehlmann, I Violich, E Alsop, E Hutchins, M Kahraman, ... Nature Aging 1 (3), 309-322, 2021 | 39 | 2021 |
What’s the target: understanding two decades of in silico microRNA-target prediction F Kern, C Backes, P Hirsch, T Fehlmann, M Hart, E Meese, A Keller Briefings in bioinformatics 21 (6), 1999-2010, 2020 | 39 | 2020 |