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

Bovine Parainfluenza Virus Type 3 Infection Reprograms the Bovine Serum Lipidome Associated with Phosphatidylinositol Depletion and Sphingolipid Axis Activation

牛副流感病毒3型感染通过磷脂酰肌醇耗竭和鞘脂轴激活重编程牛血清脂质组

Wen, Shubo; Zhang, Jiongjie; Lu, Na; Tian, Deqing; Meng, Lingpin; Gao, Zheng; Song, Yang

Comprehensive analysis of disulfidptosis-related genes in pulmonary hypertension through machine learning and immune infiltration: Spotlight on USP32 and ZNF655 as key regulators

利用机器学习和免疫浸润对肺动脉高压中二硫键凋亡相关基因进行全面分析:聚焦关键调控因子USP32和ZNF655

Chen, Riken; Guo, Dingyu; Pan, Jiahua; Pang, Lingpin; Sun, Jie; Xian, Qian; Huang, Tao; Cheng, Junfen; Huang, Jihuang; Zeng, Xianbing; Yang, Guojun; Qi, Shiyan; Chen, Wenliang; Sun, Xishi

Determining potential therapeutic targets for venous thrombosis through network pharmacology, cluster typing, WGCNA, machine learning, immune infiltration analysis, and ceRNA networks

通过网络药理学、聚类分型、WGCNA、机器学习、免疫浸润分析和ceRNA网络确定静脉血栓形成的潜在治疗靶点

Li, Zhuoji; Zhong, Ming; Fu, Kaili; Pang, Lingpin; Sun, Jie; Huang, Tao; Song, Lingyue; Guo, Dingyu; Cheng, Junfen; Sun, Xishi

PROTAC-mediated vimentin degradation promotes terminal erythroid differentiation of pluripotent stem cells

PROTAC 介导的波形蛋白降解促进多能干细胞终末红细胞分化

Hao Yan #, Ruge Zang #, Tiantian Cui, Yiming Liu, Biao Zhang, Lingpin Zhao, Hongyu Li, Juannian Zhou, Haiyang Wang, Quan Zeng, Lei Xu, Yuqi Zhou, Xuetao Pei, Jiafei Xi, Wen Yue

A comprehensive analysis of genes associated with hypoxia and cuproptosis in pulmonary arterial hypertension using machine learning methods and immune infiltration analysis: AHR is a key gene in the cuproptosis process

利用机器学习方法和免疫浸润分析,对肺动脉高压中与缺氧和铜细胞凋亡相关的基因进行全面分析:AHR是铜细胞凋亡过程中的关键基因

Chen, Zuguang; Song, Lingyue; Zhong, Ming; Pang, Lingpin; Sun, Jie; Xian, Qian; Huang, Tao; Xie, Fengwei; Cheng, Junfen; Fu, Kaili; Huang, Zhihai; Guo, Dingyu; Chen, Riken; Sun, Xishi; Huang, Chunyi

Construction and validation of risk prediction models for pulmonary embolism in hospitalized patients based on different machine learning methods

基于不同机器学习方法构建和验证住院患者肺栓塞风险预测模型

Huang, Tao; Huang, Zhihai; Peng, Xiaodong; Pang, Lingpin; Sun, Jie; Wu, Jinbo; He, Jinman; Fu, Kaili; Wu, Jun; Sun, Xishi

Relationship between serum uric acid levels and pulmonary embolism: an age-based stratified analysis

血清尿酸水平与肺栓塞的关系:基于年龄的分层分析

Yuan, Bin; Song, Lingyue; Su, Weiqing; Zeng, Xianbing; Su, Jinqiang; Sun, Jie; Wu, Jun; Fu, Kaili; Huang, Zhihai; Chen, Qiaoyun; Guo, Dingyu; Sun, Xishi; Pang, Lingpin

The prevalence and survival of pulmonary hypertension due to left heart failure: A retrospective analysis of a multicenter prospective cohort study

左心衰竭所致肺动脉高压的患病率和生存率:一项多中心前瞻性队列研究的回顾性分析

Lin, Yangyi; Pang, Lingpin; Huang, Shian; Shen, Jieyan; Wu, Weifeng; Tang, Fangming; Su, Weiqing; Zhu, Xiulong; Sun, Jingzhi; Quan, Ruilin; Yang, Tao; Han, Huijun; He, Jianguo

Impact of borderline pulmonary hypertension due to left heart failure on mortality in a multicenter registry study: A 3-year survivorship analysis

左心衰竭所致临界肺动脉高压对多中心注册研究中死亡率的影响:一项3年生存分析

Lin, Yangyi; Pang, Lingpin; Huang, Shian; Shen, Jieyan; Wu, Weifeng; Tang, Fangming; Su, Weiqing; Zhu, Xiulong; Sun, Jingzhi; Quan, Ruilin; Yang, Tao; Han, Huijun; He, Jianguo

Risk prediction in pulmonary hypertension due to chronic heart failure: incremental prognostic value of pulmonary hemodynamics

慢性心力衰竭所致肺动脉高压的风险预测:肺血流动力学的增量预后价值

Quan, Ruilin; Huang, Shian; Pang, Lingpin; Shen, Jieyan; Wu, Weifeng; Tang, Fangming; Zhu, Xiulong; Su, Weiqing; Sun, Jingzhi; Yu, Zaixin; Wang, Lemin; Zhu, Xianyang; Xiong, Changming; He, Jianguo