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

A lightweight CVTC model for accurate Alzheimer's MRI analysis and lesion annotation

一种用于精确进行阿尔茨海默病MRI分析和病灶标注的轻量级CVTC模型

Lu, Yiwei; Yu, Hongcheng; Li, Tianbao; Meng, Yuting; Lu, Jianbo; Li, Peiluan

Disease prediction by network information gain on a single sample basis.

基于单样本的网络信息增益进行疾病预测

Yan Jinling, Li Peiluan, Li Ying, Gao Rong, Bi Cheng, Chen Luonan

Living Bacteria: A New Vehicle for Vaccine Delivery in Cancer Immunotherapy

活细菌:癌症免疫疗法中疫苗递送的新载体

Yang, Min; Zhong, Peiluan; Wei, Pengcheng

Features of HLA-A*02 in Identifying Eligible Patients for Tecelra TCR-T Therapy

HLA-A*02 在识别适合接受 Tecelra TCR-T 疗法的患者中的特征

Yang, Min; Zhong, Peiluan; Jiao, Huifang; Wei, Pengcheng

M-NIG: mobile network information gain for EEG-based epileptic seizure prediction

M-NIG:基于脑电图的癫痫发作预测的移动网络信息增益

Meng, Yuting; Liu, Yi; Wang, Guanglei; Song, Huipeng; Zhang, Yiyu; Lu, Jianbo; Li, Peiluan; Ma, Xu

DNFE: Directed network flow entropy for detecting tipping points during biological processes

DNFE:用于检测生物过程中临界点的定向网络流熵

Peng, Xueqing; Qiao, Rui; Li, Peiluan; Chen, Luonan

Identification of pathogenic cell types and shared genetic loci and genes for Alzheimer's disease and inflammatory bowel disease

阿尔茨海默病和炎症性肠病致病细胞类型及共有遗传位点和基因的鉴定

Zhang, Jingjing; Yan, Yuqing; Han, Liqin; Qiao, Rui; Niu, Xiaohui; Li, Peiluan

mNFE: microbiome network flow entropy for detecting pre-disease states of type 1 diabetes

mNFE:微生物组网络流熵用于检测1型糖尿病的疾病前期状态

Gao, Rong; Li, Peiluan; Ni, Yueqiong; Peng, Xueqing; Ren, Jing; Chen, Luonan

MIWE: detecting the critical states of complex biological systems by the mutual information weighted entropy

MIWE:利用互信息加权熵检测复杂生物系统的临界状态

Xie, Yuke; Peng, Xueqing; Li, Peiluan

CPMI: comprehensive neighborhood-based perturbed mutual information for identifying critical states of complex biological processes

CPMI:基于邻域的扰动互信息综合方法,用于识别复杂生物过程的关键状态

Ren, Jing; Li, Peiluan; Yan, Jinling