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

Scaling up spatial transcriptomics for large-sized tissues: uncovering cellular-level tissue architecture beyond conventional platforms with iSCALE

利用 iSCALE 将空间转录组学扩展到大尺寸组织:揭示超越传统平台的细胞级组织结构

Schroeder, Amelia; Loth, Melanie L; Luo, Chunyu; Yao, Sicong; Yan, Hanying; Zhang, Daiwei; Piya, Sarbottam; Plowey, Edward; Hu, Wenxing; Clemenceau, Jean R; Jang, Inyeop; Kim, Minji; Barnfather, Isabel; Chan, Su Jing; Reynolds, Taylor L; Carlile, Thomas; Cullen, Patrick; Sung, Ji-Youn; Tsai, Hui-Hsin; Park, Jeong Hwan; Hwang, Tae Hyun; Zhang, Baohong; Li, Mingyao

An ensemble deep learning framework for multi-class LncRNA subcellular localization with innovative encoding strategy

一种用于多类别 lncRNA 亚细胞定位的集成深度学习框架,采用创新的编码策略

Hu, Wenxing; Yue, Yan; Yan, Ruomei; Guan, Lixin; Li, Mengshan

SpatialPPIv2: Enhancing protein-protein interaction prediction through graph neural networks with protein language models

SpatialPPIv2:通过基于蛋白质语言模型的图神经网络增强蛋白质-蛋白质相互作用预测

Hu, Wenxing; Ohue, Masahito

FundusNet: A Deep-Learning Approach for Fast Diagnosis of Neurodegenerative and Eye Diseases Using Fundus Images

FundusNet:一种利用眼底图像快速诊断神经退行性疾病和眼部疾病的深度学习方法

Hu, Wenxing; Li, Kejie; Gagnon, Jake; Wang, Ye; Raney, Talia; Chen, Jeron; Chen, Yirui; Okunuki, Yoko; Chen, Will; Zhang, Baohong

ScaleSC: a superfast and scalable single-cell RNA-seq data analysis pipeline powered by GPU

ScaleSC:一个由GPU驱动的超快速、可扩展的单细胞RNA测序数据分析流程。

Hu, Wenxing; Zhang, Haotian; Sun, Yu H; Cao, Shaolong; Gagnon, Jake; Moroishi, Yuka; Chen, Yirui; Ouyang, Zhengyu; Zhang, Baohong

C4d Immunoreactivity in Autoimmune and HBV-Induced Hepatitis: Implications for Complement-Mediated Hepatocellular Injury

自身免疫性肝炎和乙型肝炎病毒感染引起的肝炎中C4d免疫反应性:对补体介导的肝细胞损伤的意义

Zheng, Ye; Tong, Haitao; Guo, Wenjuan; Wang, Ao; Hu, Wenxing; Wu, Min; Zhang, Xiaonan

Scaling up spatial transcriptomics for large-sized tissues: uncovering cellular-level tissue architecture beyond conventional platforms with iSCALE.

利用 iSCALE 将空间转录组学扩展到大组织:揭示超越传统平台的细胞级组织结构

Schroeder Amelia, Loth Melanie, Luo Chunyu, Yao Sicong, Yan Hanying, Zhang Daiwei, Piya Sarbottam, Plowey Edward, Hu Wenxing, Clemenceau Jean R, Jang Inyeop, Kim Minji, Barnfather Isabel, Chan Su Jing, Reynolds Taylor L, Carlile Thomas, Cullen Patrick, Sung Ji-Youn, Tsai Hui-Hsin, Park Jeong Hwan, Hwang Tae Hyun, Zhang Baohong, Li Mingyao

A deep learning model for DNA enhancer prediction based on nucleotide position aware feature encoding

基于核苷酸位置感知特征编码的DNA增强子预测深度学习模型

Hu, Wenxing; Li, Yelin; Wu, Yan; Guan, Lixin; Li, Mengshan

SpatialPPI: Three-dimensional space protein-protein interaction prediction with AlphaFold Multimer

SpatialPPI:利用 AlphaFold Multimer 进行三维空间蛋白质-蛋白质相互作用预测

Hu, Wenxing; Ohue, Masahito

Essential genes identification model based on sequence feature map and graph convolutional neural network

基于序列特征图和图卷积神经网络的必需基因识别模型

Hu, Wenxing; Li, Mengshan; Xiao, Haiyang; Guan, Lixin