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

PHScaffolding: a hypergraph clustering and dual-weight integration strategy for scaffolding with Pore-C reads

PHScaffolding:一种基于超图聚类和双权重整合的基于Pore-C reads的支架构建策略

Su, Quan; Luo, Junwei; Guo, Fei

A method for structural variant detection using Hi-C contact matrix and neural networks

一种利用Hi-C接触矩阵和神经网络进行结构变异检测的方法

Shen, Jiquan; Wang, Haojie; Zhai, Haixia; Wang, Junfeng; Luo, Junwei

HyperDeepTAD: a topologically associated domains detection method based on multiway chromatin interaction data and deep learning

HyperDeepTAD:一种基于多向染色质相互作用数据和深度学习的拓扑关联结构域检测方法

Luo, Junwei; Liu, Kaihua; Feng, Ruiping; Guo, Fei

Constructing polymorphic phase boundary for high-performance inorganic photostrictive materials

构建高性能无机光致伸缩材料的多晶型相界

Chen, Chen; Liu, Wenhao; Guo, Fengwu; He, Xiang; Wang, Lu; Boda, Muzaffar Ahmad; Wang, Xiao; Luo, Junwei; Yi, Zhiguo

deepTAD: an approach for identifying topologically associated domains based on convolutional neural network and transformer model

deepTAD:一种基于卷积神经网络和Transformer模型的拓扑关联域识别方法

Wang, Xiaoyan; Luo, Junwei; Wu, Lili; Luo, Huimin; Guo, Fei

The insulator EACBE regulates V(D)J recombination of Tcrd gene by modulating chromatin organization.

绝缘体 EACBE 通过调节染色质组织来调控 Tcrd 基因的 V(D)J 重组

Zhu Yongchang, Dai Ranran, Zhao Hao, Luo Junwei, Li Keyi, Xue Wei, Qin Litao, Pan Hongyuan, Liao Shixiu, Hao Bingtao

KGRDR: a deep learning model based on knowledge graph and graph regularized integration for drug repositioning

KGRDR:一种基于知识图谱和图正则化集成的深度学习模型,用于药物重定位

Luo, Huimin; Yang, Hui; Zhang, Ge; Wang, Jianlin; Luo, Junwei; Yan, Chaokun

GS-DTA: integrating graph and sequence models for predicting drug-target binding affinity

GS-DTA:整合图模型和序列模型预测药物-靶点结合亲和力

Luo, Junwei; Zhu, Ziguang; Xu, Zhenhan; Xiao, Chuanle; Wei, Jingjing; Shen, Jiquan

CGLoop: a neural network framework for chromatin loop prediction

CGLoop:用于染色质环预测的神经网络框架

Wang, Junfeng; Wu, Lili; Wei, Jingjing; Yan, Chaokun; Luo, Huimin; Luo, Junwei; Guo, Fei

MEGDTA: multi-modal drug-target affinity prediction based on protein three-dimensional structure and ensemble graph neural network

MEGDTA:基于蛋白质三维结构和集成图神经网络的多模态药物靶点亲和力预测

Hou, Zhanwei; Li, Yijun; Zhai, Haixia; Luo, Junwei; Ding, Yulian; Pan, Yi