日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Robust characterization and interpretation of rare pathogenic cell populations from spatial omics using GARDEN

利用 GARDEN 技术从空间组学中对罕见致病细胞群进行稳健的表征和解释

Zhang, Xinming; Yu, Zhuohan; Hao, Gaoyang; Yao, Qi; Hu, Yanmei; Wang, Fuzhou; Chen, Xingjian; Liu, Linjing; Wong, Ka-Chun; Li, Xiangtao

Aligned cross-modal integration and regulatory heterogeneity characterization of single-cell multiomic data with deep contrastive learning

利用深度对比学习对单细胞多组学数据进行对齐的跨模态整合和调控异质性表征

Cheng, Yue; Su, Yanchi; Fan, Yi; Yang, Yuning; Chen, Xingjian; Wang, Fuzhou; Wong, Ka-Chun; Li, Xiangtao

Orthogonal disentanglement of single-cell multi-omics reveals private and shared drivers of tissue development and pathogenesis

单细胞多组学正交解耦揭示组织发育和发病机制的私有和共享驱动因素

Fan, Yi; Su, Yanchi; Hao, Gaoyang; Wang, Fuzhou; Chen, Xingjian; Wong, Ka-Chun; Li, Xiangtao

Topological identification and interpretation for single-cell epigenetic regulation elucidation in multi-tasks using scAGDE

利用scAGDE进行多任务单细胞表观遗传调控的拓扑识别和解释

Hao, Gaoyang; Fan, Yi; Yu, Zhuohan; Su, Yanchi; Zhu, Haoran; Wang, Fuzhou; Chen, Xingjian; Yang, Yuning; Wang, Guohua; Wong, Ka-Chun; Li, Xiangtao

Unveiling Multi-Scale Architectural Features in Single-Cell Hi-C Data Using scCAFE

利用scCAFE揭示单细胞Hi-C数据中的多尺度结构特征

Wang, Fuzhou; Lin, Jiecong; Alinejad-Rokny, Hamid; Ma, Wenjing; Meng, Lingkuan; Huang, Lei; Yu, Jixiang; Chen, Nanjun; Wang, Yuchen; Yao, Zhongyu; Xie, Weidun; Wong, Ka-Chun; Li, Xiangtao

DeepNanoHi-C: deep learning enables accurate single-cell nanopore long-read data analysis and 3D genome interpretation

DeepNanoHi-C:深度学习实现精准的单细胞纳米孔长读长数据分析和三维基因组解读

Ma, Wenjing; Wang, Fuzhou; Fan, Yi; Hao, Gaoyang; Su, Yanchi; Wong, Ka-Chun; Li, Xiangtao

TransPTM: a transformer-based model for non-histone acetylation site prediction

TransPTM:一种基于Transformer的非组蛋白乙酰化位点预测模型

Meng, Lingkuan; Chen, Xingjian; Cheng, Ke; Chen, Nanjun; Zheng, Zetian; Wang, Fuzhou; Sun, Hongyan; Wong, Ka-Chun

TP-LMMSG: a peptide prediction graph neural network incorporating flexible amino acid property representation

TP-LMMSG:一种结合了灵活氨基酸性质表示的肽预测图神经网络

Chen, Nanjun; Yu, Jixiang; Zhe, Liu; Wang, Fuzhou; Li, Xiangtao; Wong, Ka-Chun

Uncovering the ceRNA Network Related to the Prognosis of Stomach Adenocarcinoma Among 898 Patient Samples

揭示与898例胃腺癌患者样本预后相关的ceRNA网络

Liu, Zhe; Liu, Fang; Petinrin, Olutomilayo Olayemi; Wang, Fuzhou; Zhang, Yu; Wong, Ka-Chun

Dynamic characterization and interpretation for protein-RNA interactions across diverse cellular conditions using HDRNet

利用HDRNet对不同细胞条件下蛋白质-RNA相互作用进行动态表征和解释

Zhu, Haoran; Yang, Yuning; Wang, Yunhe; Wang, Fuzhou; Huang, Yujian; Chang, Yi; Wong, Ka-Chun; Li, Xiangtao