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

Multimodal pre-training models of molecular representation for drug discovery

用于药物发现的分子表征多模态预训练模型

Wang, Xiaoqi; Wang, Chuanshi; Ji, Boya; Wang, Junwen; Zheng, Mingyue; Song, Lingyun; Peng, Shaoliang; Shang, Xuequn

CrisprPr: a hybrid-driven framework for CRISPR/Cas9 off-target prediction with analysis of prior-information updates

CrisprPr:一种混合驱动的CRISPR/Cas9脱靶预测框架,结合先验信息更新分析

Wu, Yingfu; Qi, Yang; Chen, Yiqi; Liu, Dongliang; Liu, Qi; Shang, Xuequn

GDSim: accurate simulation for single-cell transcriptomes based on the guided diffusion model

GDSim:基于引导扩散模型的单细胞转录组精确模拟

Wang, Tao; Dong, Heyan; Zhao, Hui; Zhen, Peimeng; Wang, Yongtian; Shang, Xuequn; Peng, Jiajie; Xiao, Bing; Chen, Jing

STGNET: extending panel coverage in imaging-based spatial transcriptomics using deep generative adversarial networks

STGNET:利用深度生成对抗网络扩展基于成像的空间转录组学中的面板覆盖范围

Wang, Tao; Wang, Bingtao; Shu, Han; Zhen, Peimeng; Hu, Jialu; Wang, Yongtian; Peng, Jiajie; Shang, Xuequn; Wu, Zhiyuan; Xiao, Bing; Chen, Jing

Enhancing cell subpopulation discovery in cancer by integrating single-cell transcriptome and expressed variants

通过整合单细胞转录组和表达变异体来增强癌症细胞亚群的发现

Wang, Tao; Mai, Duoduo; Shu, Han; Hu, Jialu; Wang, Yongtian; Peng, Jiajie; Chen, Jing; Shang, Xuequn

Knowledge-graph-enhanced multi-scale modeling for drug-drug interaction prediction

基于知识图谱的多尺度建模用于药物相互作用预测

Chen, Jing; Deng, Qiang; Zhen, Peimeng; Hu, Jialu; Wang, Yongtian; Peng, Jiajie; You, Zhuhong; Shang, Xuequn; Zhang, Xu; Wang, Tao

stSCI: A multi-task learning framework for integrative analysis of single-cell and spatial transcriptomics data

stSCI:用于单细胞和空间转录组学数据整合分析的多任务学习框架

Shu, Han; Chen, Jing; Hu, Jialu; Zhang, Ruifen; Wang, Yongtian; Peng, Jiajie; Xu, Dan; Shang, Xuequn; Yuan, Zhiyuan; Wang, Tao

A Multi-Property Optimizing Generative Adversarial Network for de novo Antimicrobial Peptide Design

一种用于从头抗菌肽设计的多属性优化生成对抗网络

Liu, Jiaming; Cui, Tao; Wang, Tao; Lin, Lishan; Zeng, Xi; Lu, Dazhi; Jiao, Shaoqing; Wang, Jun; Li, Xiaoyan; Xiao, Shuyuan; Xie, Dongna; Wang, Xuecheng; Wang, Yongtian; Shang, Xuequn; Niu, Yinbo; Wei, Zhongyu; Peng, Jiajie

Enhanced RNA secondary structure prediction through integrative deep learning and structural context analysis

通过整合深度学习和结构上下文分析来增强RNA二级结构预测。

Wang, Yongtian; Shen, Yewei; Li, Jiahao; Wang, Tao; Peng, Jiajie; Shang, Xuequn

Deep graph convolutional network-based multi-omics integration for cancer driver gene identification

基于深度图卷积网络的多组学整合用于癌症驱动基因识别

Wu, Yingzhuo; Xu, Jialuo; Li, Junming; Gu, Jia; Shang, Xuequn; Li, Xingyi