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

Simultaneous Representation Learning of Multi-Omics and Clinical Outcome Data via a Supervised Knowledge-Guided Bayesian Factor Model

基于监督知识引导贝叶斯因子模型的多组学和临床结果数据同步表征学习

Zhang, Qiyiwen; Chang, Changgee; Jin, Chong; Shen, Li; Long, Qi

A genetically informed brain atlas for enhancing brain imaging genomics

利用基因信息构建脑图谱以增强脑成像基因组学

Bao, Jingxuan; Wen, Junhao; Chang, Changgee; Mu, Shizhuo; Chen, Jiong; Shivakumar, Manu; Cui, Yuhan; Erus, Guray; Yang, Zhijian; Yang, Shu; Wen, Zixuan; Zhao, Yize; Kim, Dokyoon; Duong-Tran, Duy; Saykin, Andrew J; Zhao, Bingxin; Davatzikos, Christos; Long, Qi; Shen, Li

Longitudinal plasma proteomics: relation to incident Alzheimer's disease dementia and biomarkers

纵向血浆蛋白质组学:与阿尔茨海默病痴呆症发病率和生物标志物的关系

Lee, Eun Hye; Huang, Yen-Ning; Park, Tamina; Liu, Shiwei; Adzibolosu, Nicholas; Chaudhuri, Soumilee; Chang, Changgee; Bice, Paula J; Dage, Jeffrey L; Brosch, Jared R; Gao, Sujuan; Apostolova, Liana G; Wilcock, Donna M; Risacher, Shannon L; Saykin, Andrew J; Jo, Taeho; Nho, Kwangsik

Circulating KRAS G12D but not G12V is associated with survival in metastatic pancreatic ductal adenocarcinoma

循环 KRAS G12D 而非 G12V 与转移性胰腺导管腺癌的生存相关

Jacob E Till #, Lee McDaniel #, Changgee Chang, Qi Long, Shannon M Pfeiffer, Jaclyn P Lyman, Lacey J Padrón, Deena M Maurer, Jia Xin Yu, Christine N Spencer, Pier Federico Gherardini, Diane M Da Silva, Theresa M LaVallee, Charles Abbott, Richard O Chen, Sean M Boyle, Neha Bhagwat, Samuele Cannas, He

Incorporating graph information in Bayesian factor analysis with robust and adaptive shrinkage priors

将图信息融入贝叶斯因子分析,并采用稳健和自适应收缩先验

Zhang, Qiyiwen; Chang, Changgee; Shen, Li; Long, Qi

Accounting for network noise in graph-guided Bayesian modeling of structured high-dimensional data

在图引导的贝叶斯建模中考虑结构化高维数据的网络噪声

Li, Wenrui; Chang, Changgee; Kundu, Suprateek; Long, Qi

Genetic underpinnings of brain structural connectome for young adults

年轻成人大脑结构连接组的遗传基础

Zhao, Yize; Chang, Changgee; Zhang, Jingwen; Zhang, Zhengwu

Bayesian network-driven clustering analysis with feature selection for high-dimensional multi-modal molecular data

基于贝叶斯网络驱动的特征选择聚类分析方法,用于高维多模态分子数据

Zhao, Yize; Chang, Changgee; Hannum, Margaret; Lee, Jasme; Shen, Ronglai

A Bayesian multiple imputation approach to bivariate functional data with missing components

一种用于处理缺失成分的双变量函数数据的贝叶斯多重插补方法

Jang, Jeong Hoon; Manatunga, Amita K; Chang, Changgee; Long, Qi

Multiple imputation for analysis of incomplete data in distributed health data networks

分布式健康数据网络中不完整数据的多重插补分析

Chang, Changgee; Deng, Yi; Jiang, Xiaoqian; Long, Qi