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

[Corrigendum] Silencing of Rac1 modifies lung cancer cell migration, invasion and actin cytoskeleton rearrangements and enhances chemosensitivity to antitumor drugs

[更正] Rac1 沉默会改变肺癌细胞的迁移、侵袭和肌动蛋白细胞骨架重排,并增强其对化疗药物的敏感性

Chen, Qing-Yong; Xu, Li-Qun; Jiao, De-Min; Yao, Qing-Hua; Wang, Yan-Yi; Hu, Hui-Zhen; Wu, Yu-Quan; Song, Jia; Yan, Jie; Wu, Li-Jun

Effects of Multi-Strain Probiotic Supplementation in Low-Crude Protein Diets on Growth Performance, Apparent Nutrient Digestibility, Fecal Microbial Indicators, and Nitrogen Utilization in Weaned Piglets

多菌株益生菌补充剂对低粗蛋白日粮断奶仔猪生长性能、表观营养物质消化率、粪便微生物指标和氮利用率的影响

Zhao, Wei Han; Liu, Hao-Yu; Cai, De-Min; Kang, Dae-Kyung; Kim, In Ho

Activation of the RSAD2-YTHDF1 axis in smooth muscle causes inflammatory bowel disease via intercellular mitochondrial transfer

平滑肌中RSAD2-YTHDF1轴的激活通过细胞间线粒体转移引起炎症性肠病。

Zhang, Wen-Di; Zhang, Dan-Dan; Wang, Xu; Li, Chen-Yang; Li, Fan-Qin; Liu, Xin-Long; Zhang, Shi-Zhen; Sun, Wei; Li, Li-Jing; Wang, Han-Bing; Kong, Peng; Liu, Xiao-Qin; Liu, De-Min; Zhang, Xiao-Lan; Liu, Ya-Bin; Han, Mei

scMUG: deep clustering analysis of single-cell RNA-seq data on multiple gene functional modules

scMUG:基于多个基因功能模块的单细胞RNA测序数据的深度聚类分析

Liang, De-Min; Du, Pu-Feng

Nanoparticle platform preferentially targeting liver sinusoidal endothelial cells induces tolerance in CD4+ T cell-mediated disease models.

优先靶向肝窦内皮细胞的纳米颗粒平台可诱导 CD4+ T 细胞介导的疾病模型产生耐受性

Wang Shu-Hung, Serr Isabelle, Digigow Reinaldo, Metzler Barbara, Surnov Alexey, Gottwick Cornelia, Alsamman Muhammad, Krzikalla Daria, Heine Markus, Zahlten Miriam, Widera Agata, Mungalpara Disha, Şeleci Muharrem, Fanzutti Marco, Marques Mesquita Lígia Margarida, Vocaturo Anna-Lisa, Herkel Johannes, Carambia Antonella, Schröter Christian, Sarko Dikran, Pohlner Johannes, Daniel Carolin, de Min Cristina, Fleischer Sabine

Family refusal rates for organ donation after brain death and after circulatory death: a single-center 6-year experience

脑死亡和循环死亡后器官捐献的家属拒绝率:一项单中心6年经验

De Min, Federica; Donato, Maria Assunta; Raimondo, Elisa; De Martino, Alessandro Ivan; Bresil, Alessia; Grossi, Alessandra Agnese; Baiardo Redaelli, Martina; Severgnini, Paolo; Cabrini, Luca

Atherogenic index of plasma and risk of acute kidney injury in critically ill patients: a multi-cohort study with machine learning and SHAP analysis

血浆动脉粥样硬化指数与危重患者急性肾损伤风险:一项基于机器学习和SHAP分析的多队列研究

Li, De-Min; Yu, Fang; Xia, Wei; Jiang, Meng-Han; Yang, Li-Juan; Yang, Hai-Ying; Yin, Sun-Jun; Wang, Ping; Meng, Rui; Cun, Shu-Hua; Yang, Han-Ni; Du, Pei-Ni; Wang, Ying; He, Gong-Hao

Comparisons of performances of structural variants detection algorithms in solitary or combination strategy

比较结构变异检测算法在单独策略和组合策略下的性能

Duan, De-Min; Cheng, Chinyi; Huang, Yu-Shu; Chung, An-Ko; Chen, Pin-Xuan; Chen, Yu-An; Hsu, Jacob Shujui; Chen, Pei-Lung

Analysis of the clinical value of gemstone spectral computed tomography imaging in the preoperative assessment of colorectal cancer

分析宝石光谱计算机断层扫描成像在结直肠癌术前评估中的临床价值

Liu, Wei; Kong, De-Min; An, Jian-Kun; Song, Li-Tao

Predicting readmission rates in critically ill heart failure patients during a 90-day vulnerable phase using interpretable machine learning models

利用可解释的机器学习模型预测危重心力衰竭患者在90天脆弱期内的再入院率

Jiang, Meng-Han; Yu, Fang; Yang, Hai-Ying; Yin, Sun-Jun; Yang, Li-Juan; Chen, Yu; Li, De-Min; Guo, Yu; Zhu, Jia-De; Cai, Wen-Ke; He, Gong-Hao