| Specific identification and quantification of circular RNAs from sequencing data J Cheng, F Metge, C Dieterich Bioinformatics 32 (7), 1094-1096, 2016 | 309 | 2016 |
| The Kipoi repository accelerates community exchange and reuse of predictive models for genomics Ž Avsec, R Kreuzhuber, J Israeli, N Xu, J Cheng, A Shrikumar, A Banerjee, ... Nature biotechnology 37 (6), 592-600, 2019 | 145* | 2019 |
| MMSplice: modular modeling improves the predictions of genetic variant effects on splicing J Cheng, TYD Nguyen, KJ Cygan, MH Çelik, WG Fairbrother, Ž Avsec, ... Genome biology 20, 1-15, 2019 | 135 | 2019 |
| An insulin-sensitive circular RNA that regulates lifespan in Drosophila CM Weigelt, R Sehgal, LS Tain, J Cheng, J Eßer, A Pahl, C Dieterich, ... Molecular cell 79 (2), 268-279. e5, 2020 | 81 | 2020 |
| Cis-regulatory elements explain most of the mRNA stability variation across genes in yeast J Cheng, KC Maier, Ž Avsec, P Rus, J Gagneur Rna 23 (11), 1648-1659, 2017 | 77 | 2017 |
| Artificial intelligence predicts the immunogenic landscape of SARS-CoV-2 leading to universal blueprints for vaccine designs B Malone, B Simovski, C Moliné, J Cheng, M Gheorghe, H Fontenelle, ... Scientific reports 10 (1), 22375, 2020 | 59 | 2020 |
| Modeling positional effects of regulatory sequences with spline transformations increases prediction accuracy of deep neural networks Ž Avsec, M Barekatain, J Cheng, J Gagneur Bioinformatics 34 (8), 1261-1269, 2018 | 34 | 2018 |
| Accurate proteome-wide missense variant effect prediction with AlphaMissense J Cheng, G Novati, J Pan, C Bycroft, A Žemgulytė, T Applebaum, A Pritzel, ... Science 381 (6664), eadg7492, 2023 | 32 | 2023 |
| BERTMHC: improved MHC–peptide class II interaction prediction with transformer and multiple instance learning J Cheng, K Bendjama, K Rittner, B Malone Bioinformatics 37 (22), 4172-4179, 2021 | 29 | 2021 |
| MTSplice predicts effects of genetic variants on tissue-specific splicing J Cheng, MH Çelik, A Kundaje, J Gagneur Genome biology 22, 1-19, 2021 | 28 | 2021 |
| Assessing predictions of the impact of variants on splicing in CAGI5 SM Mount, Ž Avsec, L Carmel, R Casadio, MH Çelik, K Chen, J Cheng, ... Human mutation 40 (9), 1215-1224, 2019 | 14 | 2019 |
| CAGI 5 splicing challenge: improved exon skipping and intron retention predictions with MMSplice J Cheng, MH Çelik, TYD Nguyen, Ž Avsec, J Gagneur Human mutation 40 (9), 1243-1251, 2019 | 9 | 2019 |
| Avsec, žiga, & Gagneur, J.(2019). MMSplice: modular modeling improves the predictions of genetic variant effects on splicing J Cheng, TYD Nguyen, KJ Cygan, MH Çelik, WG Fairbrother Genome Biology 20 (1), 48, 0 | 6 | |
| Artificial intelligence predicts the immunogenic landscape of SARS-CoV-2: toward universal blueprints for vaccine designs B Malone, B Simovski, C Moliné, J Cheng, M Gheorghe, H Fontenelle, ... bioRxiv, 2020.04. 21.052084, 2020 | 5 | 2020 |
| Method and system for optimal vaccine design B Malone, J Cheng US Patent App. 17/788,304, 2023 | | 2023 |
| VEGN: Variant Effect Prediction with Graph Neural Networks J Cheng, C Lawrence, M Niepert arXiv preprint arXiv:2106.13642, 2021 | | 2021 |
| Interpreting regulatory variants with predictive models J Cheng Technische Universität München, 2019 | | 2019 |
| Sequence features explain most of the mRNA stability variation across genes in yeast J Cheng, Ž Avsec, J Gagneur bioRxiv, 085522, 2016 | | 2016 |
Žiga AvsecDeepMindVerified email at google.com
