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Jun Cheng
Jun Cheng
DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
Specific identification and quantification of circular RNAs from sequencing data
J Cheng, F Metge, C Dieterich
Bioinformatics 32 (7), 1094-1096, 2016
3412016
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
3042023
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
1632019
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
1532019
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
942020
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
862017
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
722020
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
482021
MTSplice predicts effects of genetic variants on tissue-specific splicing
J Cheng, MH Çelik, A Kundaje, J Gagneur
Genome biology 22, 1-19, 2021
372021
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
362018
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
182019
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
132019
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
52020
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
5
Method and system for optimal vaccine design
B Malone, J Cheng
US Patent App. 17/788,304, 2023
12023
Method and system for optimal vaccine design
B Malone, J Cheng
US Patent App. 18/420,953, 2024
2024
Method and system for optimal vaccine design
B Malone, J Cheng
US Patent App. 18/424,042, 2024
2024
Method and system for optimal vaccine design
B Malone, J Cheng
US Patent App. 18/422,250, 2024
2024
Multiple instance learning for peptide-mhc presentation prediction
J Cheng, B Malone
US Patent App. 18/248,529, 2023
2023
VEGN: Variant Effect Prediction with Graph Neural Networks
J Cheng, C Lawrence, M Niepert
arXiv preprint arXiv:2106.13642, 2021
2021
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Articles 1–20