TWO-SAMPLE TESTS FOR MULTIVARIATE REPEATED MEASUREMENTS OF HISTOGRAM OBJECTS WITH APPLICATIONS TO WEARABLE DEVICE DATA [0.03%]
基于直方图对象的多变量重复测量两样本检验及其在可穿戴设备数据分析中的应用
Jingru Zhang,Kathleen R Merikangas,Hongzhe Li et al.
Jingru Zhang et al.
Repeated observations have become increasingly common in biomedical research and longitudinal studies. For instance, wearable sensor devices are deployed to continuously track physiological and biological signals from each individual over m...
FUNCTION-ON-SCALAR QUANTILE REGRESSION WITH APPLICATION TO MASS SPECTROMETRY PROTEOMICS DATA [0.03%]
基于质量光谱蛋白质组学数据的标量自变量分位数函数回归分析方法研究
Yusha Liu,Meng Li,Jeffrey S Morris
Yusha Liu
Mass spectrometry proteomics, characterized by spiky, spatially heterogeneous functional data, can be used to identify potential cancer biomarkers. Existing mass spectrometry analyses utilize mean regression to detect spectral regions that ...
BAYESIAN ANALYSIS OF INFANT'S GROWTH DYNAMICS WITH IN UTERO EXPOSURE TO ENVIRONMENTAL TOXICANTS [0.03%]
接触毒物对婴儿生长的影响的贝叶斯统计分析方法研究
Jonggyu Baek,Bin Zhu,Peter X K Song
Jonggyu Baek
Early infancy from at-birth to 3 years is critical for cognitive, emotional and social development of infants. During this period, infant's developmental tempo and outcomes are potentially impacted by in utero exposure to endocrine disrupti...
By Zoe Guan,Giovanni Parmigiani,Danielle Braun et al.
By Zoe Guan et al.
Family history is a major risk factor for many types of cancer. Mendelian risk prediction models translate family histories into cancer risk predictions, based on knowledge of cancer susceptibility genes. These models are widely used in cli...
Probabilistic HIV recency classification-a logistic regression without labeled individual level training data [0.03%]
概率性HIV近期感染分类-无需以个体水平标注数据的逻辑回归方法
Ben Sheng,Changcheng Li,Le Bao et al.
Ben Sheng et al.
Accurate HIV incidence estimation based on individual recent infection status (recent vs long-term infection) is important for monitoring the epidemic, targeting interventions to those at greatest risk of new infection, and evaluating exist...
Sen Zhao,Ali Shojaie
Sen Zhao
Identifying differences in networks has become a canonical problem in many biological applications. Existing methods try to accomplish this goal by either directly comparing the estimated structures of two networks, or testing the null hypo...
THE SCALABLE BIRTH-DEATH MCMC ALGORITHM FOR MIXED GRAPHICAL MODEL LEARNING WITH APPLICATION TO GENOMIC DATA INTEGRATION [0.03%]
适用于基因组数据整合的混合图形模型可伸缩出生死亡MCMC学习算法
Nanwei Wang,Hélène Massam,Xin Gao et al.
Nanwei Wang et al.
Recent advances in biological research have seen the emergence of high-throughput technologies with numerous applications that allow the study of biological mechanisms at an unprecedented depth and scale. A large amount of genomic data is n...
Andrea Sottosanti,Davide Risso
Andrea Sottosanti
Spatial transcriptomics is a groundbreaking technology that allows the measurement of the activity of thousands of genes in a tissue sample and maps where the activity occurs. This technology has enabled the study of the spatial variation o...
Isabella N Grabski,Roberta De Vito,Lorenzo Trippa et al.
Isabella N Grabski et al.
Mutations in the BRCA1 and BRCA2 genes are known to be highly associated with breast cancer. Identifying both shared and unique transcript expression patterns in blood samples from these groups can shed insight into if and how the disease m...
BAYESIAN INFERENCE AND DYNAMIC PREDICTION FOR MULTIVARIATE LONGITUDINAL AND SURVIVAL DATA [0.03%]
多元纵向和生存数据的贝叶斯推断与动态预测
Haotian Zou,Donglin Zeng,Luo Xiao et al.
Haotian Zou et al.
Alzheimer's disease (AD) is a complex neurological disorder impairing multiple domains such as cognition and daily functions. To better understand the disease and its progression, many AD research studies collect multiple longitudinal outco...