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Bioinformatics (Oxford, England)|April 16, 2024
scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanismQun Jiang, Shengquan Chen, Xiaoyang Chen, et al.BMC Bioinformatics|May 11, 2019
VPAC: Variational projection for accurate clustering of single-cell transcriptomic dataShengquan Chen, Kui Hua, Hongfei Cui, et al.Genome Biology|October 9, 2023
scIBD: a self-supervised iterative-optimizing model for boosting the detection of heterotypic doublets in single-cell chromatin accessibility dataWenhao Zhang, Rui Jiang, Shengquan Chen, et al.Nature Machine Intelligence|June 28, 2021
Simultaneous deep generative modeling and clustering of single cell genomic dataQiao Liu, Shengquan Chen, Rui Jiang, et al.Methods (San Diego, Calif.)|September 20, 2024
GATDE: A graph attention network with diffusion-enhanced protein-protein interaction for cancer classificationRuike Song, Xiaofeng Wang, Jiahao Zhang, et al.Genome Research|October 30, 2023
Latent feature extraction with a prior-based self-attention framework for spatial transcriptomicsZhen Li, Xiaoyang Chen, Xuegong Zhang, et al.Bioinformatics (Oxford, England)|July 26, 2023
simCAS: an embedding-based method for simulating single-cell chromatin accessibility sequencing dataChen Li, Xiaoyang Chen, Shengquan Chen, et al.Brain and Behavior|August 21, 2024
Dynamic quantitative monitoring of cerebrospinal fluid monoamine neurotransmitter markers during the modeling process of chronic stress-induced depression in monkeys (Macaca mulatta)Siyu Li, Xiaoli FengViruses|October 27, 2022
Biophysical Modeling of SARS-CoV-2 Assembly: Genome Condensation and BuddingSiyu Li, Roya ZandiBMC Bioinformatics|December 9, 2017
Predicting enhancers with deep convolutional neural networksXu Min, Wanwen Zeng, Shengquan Chen, et al.Pageof 71