Shengquan Chen

发表

SIP: An Interchangeable Pipeline for scRNA-seq Data Processing

Sijie Chen, Yang Chen, Zheng Wei, 2018 .

RA3 is a reference-guided approach for epigenetic characterization of single cells

Wenyu Zhang, Rui Jiang, Shengquan Chen, 2020, Nature Communications.

EnClaSC: a novel ensemble approach for accurate and robust cell-type classification of single-cell transcriptomes

Shengquan Chen, Xiaoyang Chen, Rui Jiang, 2019, BMC Bioinformatics.

EpiFIT: functional interpretation of transcription factors based on combination of sequence and epigenetic information

Rui Jiang, Hongfei Cui, Shengquan Chen, 2019, Quantitative Biology.

OPENANNO: annotating genomic regions with chromatin accessibility

Rui Jiang, Yong Wang, Shengquan Chen, 2019, bioRxiv.

VPAC: Variational projection for accurate clustering of single-cell transcriptomic data

Rui Jiang, Kui Hua, Shengquan Chen, 2019, BMC Bioinformatics.

EnClaSC: a novel ensemble approach for accurate and robust cell-type classification of single-cell transcriptomes

Rui Jiang, Shengquan Chen, Xiaoyang Chen, 2020, BMC bioinformatics.

DeepCAPE: A Deep Convolutional Neural Network for the Accurate Prediction of Enhancers

Hairong Lv, Rui Jiang, Shengquan Chen, 2018, bioRxiv.

VPAC: Variational projection for accurate clustering of single-cell transcriptomic data

Rui Jiang, Hongfei Cui, Kui Hua, 2019 .

Predicting enhancers with deep convolutional neural networks

Ning Chen, Xu Min, Rui Jiang, 2017, BMC Bioinformatics.

Simultaneous deep generative modelling and clustering of single-cell genomic data

Qiao Liu, Rui Jiang, Wing Hung Wong, 2020, Nature Machine Intelligence.

SilencerDB: a comprehensive database of silencers

Rui Jiang, Shengquan Chen, Wanwen Zeng, 2020, Nucleic Acids Res..

Simultaneous deep generative modelling and clustering of single-cell genomic data

Rui Jiang, Shengquan Chen, Qiao Liu, 2021, Nat. Mach. Intell..