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

Boosting Li(+) Diffusion in Lithium-Rich Oxides through Intrinsic Structural Design: Insights and Design Principles

通过内在结构设计增强富锂氧化物中Li(+)的扩散:见解和设计原则

Xu, Lifeng; Hong, Min; Guo, Jingjing; Shen, Fangming; Xu, Da; Zhang, Jinjian; Zhang, Ying; Zheng, Jianhui; Lu, Jun

Identification and evaluation of glutamine-related gene characteristics based on multi-omics to predict the prognosis of patients with colorectal cancer

基于多组学方法鉴定和评估谷氨酰胺相关基因特征,以预测结直肠癌患者的预后

Yin, Mingming; Zhang, Di; Wang, Tianbing; Xu, Lifeng; Jin, Rong; Wang, Xiangyang; Man, Yi; Xu, Kai; Ruan, Qiang; Wang, Ting; Guo, Kai; Zheng, Haoyi; Zhou, Zheng; Gu, Guosheng; Wu, Wenyong

Predicting the acute pancreatitis severity with multi-machine learning models: constructing an online prediction platform

利用多机器学习模型预测急性胰腺炎严重程度:构建在线预测平台

Cao, Jie; Long, Shike; Liu, Huan; Liao, Ribin; Chen, Fu An; Li, Xiyou; Xu, Lifeng; Liu, Ying

Plant-nanoparticles enhance anti-PD-L1 efficacy by shaping human commensal microbiota metabolites

植物纳米颗粒通过调控人体共生微生物代谢物来增强抗PD-L1疗效

Yun Teng # ,Chao Luo # ,Xiaolan Qiu # ,Jingyao Mu ,Mukesh K Sriwastva ,Qingbo Xu ,Minmin Liu ,Xin Hu ,Fangyi Xu ,Lifeng Zhang ,Juw Won Park ,Jae Yeon Hwang ,Maiying Kong ,Zhanxu Liu ,Xiang Zhang ,Raobo Xu ,Jun Yan ,Michael L Merchant ,Craig J McClain ,Huang-Ge Zhang

Editorial: Emerging methodologies in genotype-phenotype models for crop improvement

社论:作物改良基因型-表型模型的新兴方法

Buck-Sorlin, Gerhard; Xu, Lifeng

Salt gradient-driven adaptation in okra: uncovering mechanisms of tolerance and growth regulation.

盐梯度驱动的秋葵适应:揭示耐受性和生长调控机制

Yang Xi, He Jiuxing, Xu Lifeng, Kong Meng, Huo Qiuyan, Song Jiqing, Han Wei, Lv Guohua

In silico methods for drug-target interaction prediction

药物靶点相互作用预测的计算机模拟方法

Ru, Xiaoqing; Xu, Lifeng; Han, Wu; Zou, Quan

Risk Factors and Prediction Model for Hypokalemia as a Complication in Older Adults with Acute Cerebral Hemorrhage

老年急性脑出血并发低钾血症的危险因素及预测模型

Jing, Shanquan; Zhang, Lizhuang; Xu, Lifeng

Deep Reinforcement Learning for CT-Based Non-Invasive Prediction of SOX9 Expression in Hepatocellular Carcinoma

基于CT的深度强化学习对肝细胞癌中SOX9表达进行非侵入性预测

Liu, Minghui; Wei, Yi; Xie, Tianshu; Yang, Meiyi; Cheng, Xuan; Xu, Lifeng; Li, Qian; Che, Feng; Xu, Qing; Song, Bin; Liu, Ming

ESAE-SDA: ensemble sparse autoencoder framework for epigenomics-informed snoRNA-disease associations prediction

ESAE-SDA:基于表观基因组学信息的snoRNA-疾病关联预测的集成稀疏自编码器框架

Jiang, Xinqing; Chen, Xiaojun; Xu, Lifeng; Zhang, Feng; Chen, Jiawei; Zhang, Wenqian