Shengquan Chen

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Convolutional Neural Networks

Web Server Logs

Dense Subgraphs

Top Venues

Nat. Mach. Intell.

Nucleic Acids Res.

Publications

Siyu Li, Songming Tang, Yunchang Wang, Sijie Li, Yuhang Jia, Shengquan Chen
Accurate cell type annotation for single-cell chromatin accessibility data via contrastive learning and reference guidance. Quant. Biol. 12 (1) (2024)
Haixin Wang, Yunhan Wang, Qun Jiang, Yan Zhang, Shengquan Chen
SCREEN: predicting single-cell gene expression perturbation responses via optimal transport. Frontiers Comput. Sci. 18 (3) (2024)
Yuxi Li, Yi Liu, Yuekang Li, Ling Shi, Gelei Deng, Shengquan Chen, Kailong Wang
Lockpicking LLMs: A Logit-Based Jailbreak Using Token-level Manipulation. CoRR (2024)
Yuhang Jia, Siyu Li, Rui Jiang, Shengquan Chen
Accurate Annotation for Differentiating and Imbalanced Cell Types in Single-Cell Chromatin Accessibility Data. IEEE ACM Trans. Comput. Biol. Bioinform. 21 (3) (2024)
Xuejian Cui, Xiaoyang Chen, Zhen Li, Zijing Gao, Shengquan Chen, Rui Jiang
Discrete latent embedding of single-cell chromatin accessibility sequencing data for uncovering cell heterogeneity. Nat. Comput. Sci. 4 (5) (2024)
Shengquan Chen, Rongxiang Wang, Wenxin Long, Rui Jiang
ASTER: accurately estimating the number of cell types in single-cell chromatin accessibility data. Bioinform. 39 (1) (2023)
Zheng Zhang, Shengquan Chen, Zhixiang Lin
RefTM: reference-guided topic modeling of single-cell chromatin accessibility data. Briefings Bioinform. 24 (1) (2023)
Chen Li, Xiaoyang Chen, Shengquan Chen, Rui Jiang, Xuegong Zhang
simCAS: an embedding-based method for simulating single-cell chromatin accessibility sequencing data. Bioinform. 39 (8) (2023)
Xiaoyang Chen, Shengquan Chen, Shuang Song, Zijing Gao, Lin Hou, Xuegong Zhang, Hairong Lv, Rui Jiang
Cell type annotation of single-cell chromatin accessibility data via supervised Bayesian embedding. Nat. Mach. Intell. 4 (2) (2022)
Shengquan Chen, Boheng Zhang, Xiaoyang Chen, Xuegong Zhang, Rui Jiang
stPlus: a reference-based method for the accurate enhancement of spatial transcriptomics. Bioinform. 37 (Supplement) (2021)
Wanwen Zeng, Shengquan Chen, Xuejian Cui, Xiaoyang Chen, Zijing Gao, Rui Jiang
SilencerDB: a comprehensive database of silencers. Nucleic Acids Res. 49 (Database-Issue) (2021)
Shengquan Chen, Qiao Liu, Xuejian Cui, Zhanying Feng, Chunquan Li, Xiaowo Wang, Xuegong Zhang, Yong Wang, Rui Jiang
OpenAnnotate: a web server to annotate the chromatin accessibility of genomic regions. Nucleic Acids Res. 49 (Webserver-Issue) (2021)
Shengquan Chen, Mingxin Gan, Hairong Lv, Rui Jiang
DeepCAPE: A Deep Convolutional Neural Network for the Accurate Prediction of Enhancers. Genom. Proteom. Bioinform. 19 (4) (2021)
Qiao Liu, Shengquan Chen, Rui Jiang, Wing Hung Wong
Simultaneous deep generative modelling and clustering of single-cell genomic data. Nat. Mach. Intell. 3 (6) (2021)
Xiaoyang Chen, Shengquan Chen, Rui Jiang
EnClaSC: a novel ensemble approach for accurate and robust cell-type classification of single-cell transcriptomes. BMC Bioinform. (13) (2020)
Hui Kang, Shengquan Chen, Lingfeng Lu, Chenkun Meng
Research and Improvement of Community Discovery Algorithm Based on Spark for Large Scale Complicated Networks. TrustCom (2020)
Shaoming Song, Hongfei Cui, Shengquan Chen, Qiao Liu, Rui Jiang
EpiFIT: functional interpretation of transcription factors based on combination of sequence and epigenetic information. Quant. Biol. 7 (3) (2019)
Shengquan Chen, Kui Hua, Hongfei Cui, Rui Jiang
VPAC: Variational projection for accurate clustering of single-cell transcriptomic data. BMC Bioinform. (7) (2019)
Xu Min, Wanwen Zeng, Shengquan Chen, Ning Chen, Ting Chen, Rui Jiang
Predicting enhancers with deep convolutional neural networks. BMC Bioinform. 18 (S-13) (2017)