Y. Liu

Emergence of prefrontal neuron maturation properties by training recurrent neural networks in cognitive tasks

C. Constantinidis, Xin Zhou, Y. Liu, 2020, bioRxiv.

Aquila_stLFR: diploid genome assembly based structural variant calling package for stLFR linked-reads

A. Sidow, D. Dill, X. Fang, 2021, Bioinformatics Advances.

Haplotype-phasing of long-read HiFi data to enhance structural variant detection through a Skip-Gram model

Xiaoxia Zhou, Y. Liu, Can Luo, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Neural Mechanisms of Working Memory Accuracy Revealed by Recurrent Neural Networks

C. Constantinidis, Xin Zhou, Y. Liu, 2022, Frontiers in Systems Neuroscience.

Aquila_stLFR: assembly based variant calling package for stLFR and hybrid assembly for linked-reads

Xin Zhou, David L. Dill, Yichen Liu, 2019, bioRxiv.