| The Sorghum bicolor genome and the diversification of grasses AH Paterson, JE Bowers, R Bruggmann, I Dubchak, J Grimwood, ... Nature 457 (7229), 551-556, 2009 | 3372 | 2009 |
| Prottrans: Toward understanding the language of life through self-supervised learning A Elnaggar, M Heinzinger, C Dallago, G Rehawi, Y Wang, L Jones, ... IEEE transactions on pattern analysis and machine intelligence 44 (10), 7112 …, 2021 | 1375 | 2021 |
| Gene selection from microarray data for cancer classification—a machine learning approach Y Wang, IV Tetko, MA Hall, E Frank, A Facius, KFX Mayer, HW Mewes Computational biology and chemistry 29 (1), 37-46, 2005 | 536 | 2005 |
| Modeling aspects of the language of life through transfer-learning protein sequences M Heinzinger, A Elnaggar, Y Wang, C Dallago, D Nechaev, F Matthes, ... BMC bioinformatics 20, 1-17, 2019 | 512 | 2019 |
| Dynamics and biological relevance of DNA demethylation in Arabidopsis antibacterial defense A Yu, G Lepère, F Jay, J Wang, L Bapaume, Y Wang, AL Abraham, ... Proceedings of the National Academy of Sciences, 2013 | 475 | 2013 |
| Deep-sequencing of plant viral small RNAs reveals effective and widespread targeting of viral genomes L Donaire, Y Wang, D Gonzalez-Ibeas, KF Mayer, MA Aranda, C Llave Virology 392 (2), 203-214, 2009 | 325 | 2009 |
| Retracted: An endogenous, systemic RNAi pathway in plants P Dunoyer, CA Brosnan, G Schott, Y Wang, F Jay, A Alioua, C Himber, ... The EMBO journal 29 (10), 1699-1712, 2010 | 290 | 2010 |
| Genome-wide prediction of traits with different genetic architecture through efficient variable selection V Wimmer, C Lehermeier, T Albrecht, HJ Auinger, Y Wang, CC Schön Genetics 195 (2), 573-587, 2013 | 156 | 2013 |
| Misregulation of AUXIN RESPONSE FACTOR 8 Underlies the Developmental Abnormalities Caused by Three Distinct Viral Silencing Suppressors in Arabidopsis F Jay, Y Wang, A Yu, L Taconnat, S Pelletier, V Colot, JP Renou, ... PLoS Pathogens 7 (5), e1002035, 2011 | 114 | 2011 |
| ProtTrans: Towards cracking the language of Life’s code through self-supervised deep learning and high performance computing. arXiv 2020 A Elnaggar, M Heinzinger, C Dallago, G Rihawi, Y Wang, L Jones, ... arXiv preprint arXiv:2007.06225, 2020 | 106 | 2020 |
| DroughtDB: an expert-curated compilation of plant drought stress genes and their homologs in nine species S Alter, KC Bader, M Spannagl, Y Wang, E Bauer, CC Schön, KFX Mayer Database 2015, bav046, 2015 | 98 | 2015 |
| ProfCom: a web tool for profiling the complex functionality of gene groups identified from high-throughput data AV Antonov, T Schmidt, Y Wang, HW Mewes Nucleic acids research 36 (suppl_2), W347-W351, 2008 | 81 | 2008 |
| A radiation-induced gene signature distinguishes post-Chernobyl from sporadic papillary thyroid cancers M Port, C Boltze, Y Wang, B Röper, V Meineke, M Abend Radiation research 168 (6), 639-649, 2007 | 78 | 2007 |
| MicroRNAs coordinately regulate protein complexes S Sass, S Dietmann, UC Burk, S Brabletz, D Lutter, A Kowarsch, KF Mayer, ... BMC systems biology 5, 1-11, 2011 | 74 | 2011 |
| BSTA: a targeted approach combines bulked segregant analysis with next- generation sequencing and de novo transcriptome assembly for SNP discovery in … M Livaja, Y Wang, S Wieckhorst, G Haseneyer, M Seidel, V Hahn, ... BMC genomics 14, 1-10, 2013 | 57 | 2013 |
| Significant sequence similarities in promoters and precursors of Arabidopsis thaliana non-conserved microRNAs Y Wang, T Hindemitt, KFX Mayer Bioinformatics 22 (21), 2585-2589, 2006 | 32 | 2006 |
| Alignment-free metal ion-binding site prediction from protein sequence through pretrained language model and multi-task learning Q Yuan, S Chen, Y Wang, H Zhao, Y Yang Briefings in bioinformatics 23 (6), bbac444, 2022 | 28 | 2022 |
| Detecting climate change effects on Vb cyclones in a 50‐member single‐model ensemble using machine learning M Mittermeier, M Braun, M Hofstätter, Y Wang, R Ludwig Geophysical Research Letters 46 (24), 14653-14661, 2019 | 21 | 2019 |
| Modeling the language of life-deep learning protein sequences. bioRxiv M Heinzinger, A Elnaggar, Y Wang, C Dallago, D Nachaev, F Matthes, ... BMC Bioinformatics 360, 540, 2019 | 14 | 2019 |
| Self-supervised learning on millions of pre-mRNA sequences improves sequence-based RNA splicing prediction K Chen, Y Zhou, M Ding, Y Wang, Z Ren, Y Yang bioRxiv, 2023.01. 31.526427, 2023 | 13 | 2023 |
Ahmed ElnaggarTechnical University of MunichVerified email at tum.de