王宇(Yu Wang)

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Ahmed ElnaggarTechnical University of MunichVerifisert e-postadresse på tum.de
Michael HeinzingerTechnische Universität MünchenVerifisert e-postadresse på tum.de
Christian DallagoNVIDIA & Technische Universität MünchenVerifisert e-postadresse på tum.de
Burkhard RostProfessor of Computer Science, Technical University MunichVerifisert e-postadresse på tum.de
Olivier VoinnetProfesseur ETH, Directeur de Recherche CNRSVerifisert e-postadresse på ethz.ch
Klaus F. X. MayerHelmholtz Center Munich; Technical University MunichVerifisert e-postadresse på helmholtz-muenchen.de
Werner MewesProfessor of Bioinformatics (retired), Technische Univ. MünchenVerifisert e-postadresse på mytum.de
Chris-Carolin SchoenPlant Breeding, Technische Universität MünchenVerifisert e-postadresse på tum.de
Mark HallHonorary Research Associate, University of Waikato, New ZealandVerifisert e-postadresse på cs.waikato.ac.nz
Igor V. TetkoBIGCHEM GmbH & Helmholtz MunichVerifisert e-postadresse på helmholtz-munich.de
Eibe FrankProfessor, Department of Computer Science, University of WaikatoVerifisert e-postadresse på cs.waikato.ac.nz
Eva BauerTechnical University of Munich, Campus Office WeihenstephanVerifisert e-postadresse på tum.de
Livia DonaireCEBAS-CSICVerifisert e-postadresse på cebas.csic.es
Cesar LlaveTenured Scientist, group leader. Centro de Investigaciones Biológicas-CSIC, SpainVerifisert e-postadresse på cib.csic.es
Valentin WimmerKWS SAAT SE, Einbeck, GermanyVerifisert e-postadresse på kws.com
Hans-Jürgen AuingerWissenschaftler, TUM PflanzenzüchtungVerifisert e-postadresse på tum.de
Theresa AlbrechtBavarian State Research Center for Agriculture, Institute for Crop Science and Plant BreedingVerifisert e-postadresse på lfl.bayern.de
Christina LehermeierCorn Product Design | Bayer Crop ScienceVerifisert e-postadresse på tum.de
Fabian J TheisHelmholtz Munich, Technical University of MunichVerifisert e-postadresse på helmholtz-muenchen.de
Dominik LutterComputational Discovery Research, Institute for Diabetes and Obesity (IDO), HMGUVerifisert e-postadresse på helmholtz-muenchen.de

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王宇(Yu Wang)

Peng Cheng Laboratory

Verifisert e-postadresse på pcl.ac.cn

AI for Life Science foundation models deep learning


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
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	3432	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	1800	2021
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	596	2019
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	544	2005
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	492	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	331	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	292	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	161	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	113	2011
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	102	2015
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	96	2020
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	82	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	72	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	59	2013
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	38	2022
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	32	2023
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
Introducing π-HelixNovo for practical large-scale de novo peptide sequencing T Yang, T Ling, B Sun, Z Liang, F Xu, X Huang, L Xie, Y He, L Li, F He, ... Briefings in Bioinformatics 25 (2), bbae021， https://doi.org/10.1093/bib/bba, 2024	23	2024
Self-supervised learning on millions of primary RNA sequences from 72 vertebrates improves sequence-based RNA splicing prediction K Chen, Y Zhou, M Ding, Y Wang, Z Ren, Y Yang Briefings in bioinformatics 25 (3), bbae163, 2024	20	2024

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