stPlus: a reference-based method for the accurate enhancement of spatial transcriptomics von Shengquan, Chen, Boheng, Zhang, Xiaoyang, Chen, Xuegong, Zhang, Rui, Jiang

Volltext

RefTM: reference-guided topic modeling of single-cell chromatin accessibility data von Zhang, Zheng, Chen, Shengquan, Lin, Zhixiang

Volltext

Predicting enhancers with deep convolutional neural networks von Min, Xu, Zeng, Wanwen, Chen, Shengquan, Chen, Ning, Chen, Ting, Jiang, Rui

Volltext

scIBD: a self-supervised iterative-optimizing model for boosting the detection of heterotypic doublets in single-cell chromatin accessibility data von Zhang, Wenhao, Jiang, Rui, Chen, Shengquan, Wang, Ying

Volltext

RA3 is a reference-guided approach for epigenetic characterization of single cells von Chen, Shengquan, Yan, Guanao, Zhang, Wenyu, Li, Jinzhao, Jiang, Rui, Lin, Zhixiang

Volltext

EnClaSC: a novel ensemble approach for accurate and robust cell-type classification of single-cell transcriptomes von Chen, Xiaoyang, Chen, Shengquan, Jiang, Rui

Volltext

scButterfly: a versatile single-cell cross-modality translation method via dual-aligned variational autoencoders von Cao, Yichuan, Zhao, Xiamiao, Tang, Songming, Jiang, Qun, Li, Sijie, Li, Siyu, Chen, Shengquan

Volltext

scCASE: accurate and interpretable enhancement for single-cell chromatin accessibility sequencing data von Tang, Songming, Cui, Xuejian, Wang, Rongxiang, Li, Sijie, Li, Siyu, Huang, Xin, Chen, Shengquan

Volltext

Publisher Correction: scCASE: accurate and interpretable enhancement for single-cell chromatin accessibility sequencing data von Tang, Songming, Cui, Xuejian, Wang, Rongxiang, Li, Sijie, Li, Siyu, Huang, Xin, Chen, Shengquan

Volltext

DeepCAPE: A Deep Convolutional Neural Network for the Accurate Prediction of Enhancers von Chen, Shengquan, Gan, Mingxin, Lv, Hairong, Jiang, Rui

Volltext

VPAC: Variational projection for accurate clustering of single-cell transcriptomic data von Chen, Shengquan, Hua, Kui, Cui, Hongfei, Jiang, Rui

Volltext

Unveiling potential threats: backdoor attacks in single-cell pre-trained models von Feng, Sicheng, Li, Siyu, Chen, Luonan, Chen, Shengquan

Volltext

SINFONIA: Scalable Identification of Spatially Variable Genes for Deciphering Spatial Domains von Jiang, Rui, Li, Zhen, Jia, Yuhang, Li, Siyu, Chen, Shengquan

Volltext

Regarding the predictors of clinical outcome in myeloproliferative neoplasm, unclassifiable von Chen, Shengquan, Zhou, Chunyang

Volltext

Influence of Thermal Desorption Technology on Removal Effects and Properties of PAH-Contaminated Soil Based on Engineering Experiments von Zhang, Xin, Li, Lei, Shi, Xiaokai, Chen, Shengquan, Liang, Wen, Zhu, Yuen, Li, Hua

Volltext

A GD2-aptamer-mediated, self-assembling nanomedicine for targeted multiple treatments in neuroblastoma theranostics von Zhang, Liyu, Wang, Meng, Zhu, Zeen, Chen, Shengquan, Wu, Haibin, Yang, Ying, Che, Fengyu, Li, Qiao, Li, Hui

Volltext

Novel CD123 polyaptamer hydrogel edited by Cas9/sgRNA for AML-targeted therapy von Wu, Haibin, Zhang, Liyu, Zhu, Zeen, Ding, Chenxi, Chen, Shengquan, Liu, Ruiping, Fan, Huafeng, Chen, Yang, Li, Hui

Volltext

Study on the correlation between radiological indicators, seven-grade classification and Oswestry disability index of surgical spinal stenosis von Chen, Guanghao, Yan, Xinxing, Huang, Tao, Wang, Pengwei, Chen, Shengquan, Yan, Jinglong

Volltext

Unfolding the genotype-to-phenotype black box of cardiovascular diseases through cross-scale modeling von Xi, Xi, Li, Haochen, Chen, Shengquan, Lv, Tingting, Ma, Tianxing, Jiang, Rui, Zhang, Ping, Wong, Wing Hung, Zhang, Xuegong

Volltext

Trends in Research of Prenatal Stress From 2011 to 2021: A Bibliometric Study von Dong, Yankai, Chen, Shengquan, Wang, Zhifei, Ma, Yao, Chen, Jinfeng, Li, Ge, Zhou, Jiahao, Ren, Yating, Ma, Hengyu, Xie, Juanping, Li, Hui, Zhu, Zhongliang

Volltext