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

Identification of alkaline phosphatase as a putative biomarker of anti-NGF treatment-associated arthropathies: Machine learning-assisted analyses of clinical trial data

碱性磷酸酶作为抗NGF治疗相关关节病潜在生物标志物的鉴定:基于机器学习的临床试验数据分析

Wipperman, Matthew F; Ehmann, Peter J; McIntyre, Debra A G; Wang, Chen Guang; Gao, Haitao; Banerjee, Poulabi; Ogawa, Kei; Ushirogawa, Yoshiteru; Chio, Erica; Li, Dateng; Hectors, Stefanie; Wei, Henry G; Hamilton, Jennifer D; Hamon, Sara C; Ota, Kristie T; Eng, Simon; Manvelian, Garen; Ho, Tina; Musser, Bret J; DiMartino, Stephen J; Patel, Yamini; Geba, Gregory P

A simulation study of the performance of statistical models for count outcomes with excessive zeros

对计数结果中零值过多的统计模型的性能进行模拟研究

Zhou, Zhengyang; Li, Dateng; Huh, David; Xie, Minge; Mun, Eun-Young

BMAL1-TTK-H2Bub1 loop deficiency contributes to impaired BM-MSC-mediated bone formation in senile osteoporosis

BMAL1-TTK-H2Bub1环路缺陷导致老年骨质疏松症中骨髓间充质干细胞介导的骨形成受损

Li Jinteng,Xu Peitao,Yu Wenhui,Ye Guiwen,Ye Feng,Xu Xiaojun,Su Zepeng,Lin Jiajie,Che Yunshu,Zhang Zhaoqiang,Zeng Yipeng,Li Zhikun,Feng Pei,Cao Qian,Li Dateng,Xie Zhongyu,Wu Yanfeng,Shen Huiyong

Casirivimab + imdevimab accelerates symptom resolution linked to improved COVID-19 outcomes across susceptible antibody and risk profiles

卡西利维单抗联合伊维维单抗可加速症状缓解,并改善易感抗体和风险人群的 COVID-19 预后。

Li, Dateng; Xu, Meng; Hooper, Andrea T; Rofail, Diana; Mohammadi, Kusha A; Chen, Yiziying; Ali, Shazia; Norton, Thomas; Weinreich, David M; Musser, Bret J; Hamilton, Jennifer D; Geba, Gregory P

Brief Alcohol Interventions are Effective through 6 Months: Findings from Marginalized Zero-inflated Poisson and Negative Binomial Models in a Two-step IPD Meta-analysis

简短酒精干预措施在6个月内有效:基于两步个体患者数据荟萃分析的边缘化零膨胀泊松模型和负二项式模型的研究结果

Mun, Eun-Young; Zhou, Zhengyang; Huh, David; Tan, Lin; Li, Dateng; Tanner-Smith, Emily E; Walters, Scott T; Larimer, Mary E

A Machine-Learning Approach to Developing a Predictive Signature Based on Transcriptome Profiling of Ground-Glass Opacities for Accurate Classification and Exploring the Immune Microenvironment of Early-Stage LUAD

基于转录组分析的磨玻璃影预测特征的机器学习方法,用于准确分类并探索早期肺腺癌的免疫微环境

Zhao, Zhenyu; Yin, Wei; Peng, Xiong; Cai, Qidong; He, Boxue; Shi, Shuai; Peng, Weilin; Tu, Guangxu; Li, Yunping; Li, Dateng; Tao, Yongguang; Peng, Muyun; Wang, Xiang; Yu, Fenglei

Paired versus two-group experimental design for rheological studies of vocal fold tissues

配对实验设计与两组实验设计在声带组织流变学研究中的比较

Xu, Chet C; Li, Dateng; Mau, Ted; McPherson, Elhum; Du, Mindy; Zhang, Song