[Major works in one slide]
Selected publications(*equal contribution)
- RNA Secondary Structure Prediction By Learning Unrolled Algorithms.
X Chen*, Y Li*, R Umarov, X Gao, L Song. Eighth International Conference on Learning Representations ( ICLR-20),
- DeepSimulator1.5: a more powerful, quicker and lighter simulator for Nanopore sequencing.
Y Li*, S Wang*, C Bi, Z Qiu, M Li, X Gao. Bioinformatics, 2020.
- A deep learning framework to predict binding preference of RNA constituents on protein surface.
J Lam*, Y Li*, L Zhu, R Umarov, H Jiang, A Heliou, F Sheong, T Liu, Y Long, Y Li, L Fang, R Altman, W Chen, X Huang, X Gao. Nature Communications, 2019.
- Estimating heritability and genetic correlations from large health datasets in the absence of genetic data.
G Jia, Y Li, H Zhang, I Chattopadhyay, A Jensen, D Blair, L Davis, P Robinson, T Dahlén, S Brunak, M Benson, G Edgren, N Cox, X Gao, A Rzhetsky. Nature Communications, 2019.
- Two symmetric Arginine residues play distinct roles in Thermus thermophilus Argonaute DNA guide strand-mediated DNA target cleavage.
J Lei, G Sheng, P Cheung, S Wang, Y Li, X Gao, Y Zhang, Y Wang, X Huang. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2019.
- Deep learning in bioinformatics: introduction, application, and perspective in big data era.
Y Li, C Huang, L Ding, Z Li, Y Pan, X Gao. Methods, 2019.
Cover article of the Methods issue: Deep Learning in Bioinformatics
- DeepSimulator: a deep simulator for nanopore sequencing.
Y Li, R Han, C Bi, M Li, S Wang, X Gao. Bioinformatics, 2018.
- DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy.
Y Li, F Xu, F Zhang, P Xu, M Fan, L Li, X Gao, R Han. Bioinformatics, 2018.
- DEEPre: sequence-based enzyme EC number prediction by deep learning.
Y Li, S Wang, R Umarov, B Xie, M Fan, L Li, X Gao. Bioinformatics, 2017.