Elena Tuzhilina,Trevor J Hastie,Mark R Segal
Elena Tuzhilina
Three-dimensional (3D) genome spatial organization is critical for numerous cellular processes, including transcription, while certain conformation-driven structural alterations are frequently oncogenic. Genome architecture had been notorio...
Bayesian design of clinical trials using joint models for longitudinal and time-to-event data [0.03%]
基于纵向数据和生存数据联合模型的贝叶斯临床试验设计
Jiawei Xu,Matthew A Psioda,Joseph G Ibrahim
Jiawei Xu
Joint models for longitudinal and time-to-event data are increasingly used for the analysis of clinical trial data. However, few methods have been proposed for designing clinical trials using these models. In this article, we develop a Baye...
An efficient and robust approach to Mendelian randomization with measured pleiotropic effects in a high-dimensional setting [0.03%]
一种高效且稳健的方法，在高维场景下基于测量的立陶宛效应进行孟德尔随机化
Andrew J Grant,Stephen Burgess
Andrew J Grant
Valid estimation of a causal effect using instrumental variables requires that all of the instruments are independent of the outcome conditional on the risk factor of interest and any confounders. In Mendelian randomization studies with lar...
An optimal kernel-based multivariate U-statistic to test for associations with multiple phenotypes [0.03%]
一种基于核函数的多元U统计量用于检测与多种表型关联的最佳方法
Y Wen,Qing Lu
Y Wen
Set-based analysis that jointly considers multiple predictors in a group has been broadly conducted for association tests. However, their power can be sensitive to the distribution of phenotypes, and the underlying relationships between pre...
Integrative functional linear model for genome-wide association studies with multiple traits [0.03%]
用于多种性状全基因组关联研究的整合功能线性模型
Yang Li,Fan Wang,Mengyun Wu et al.
Yang Li et al.
In recent biomedical research, genome-wide association studies (GWAS) have demonstrated great success in investigating the genetic architecture of human diseases. For many complex diseases, multiple correlated traits have been collected. Ho...
John Shamshoian,Damla Şentürk,Shafali Jeste et al.
John Shamshoian et al.
Multi-dimensional functional data arises in numerous modern scientific experimental and observational studies. In this article, we focus on longitudinal functional data, a structured form of multidimensional functional data. Operating withi...
Sine-skewed toroidal distributions and their application in protein bioinformatics [0.03%]
正弦偏斜环面分布及其在蛋白质生物信息学中的应用
Jose Ameijeiras-Alonso,Christophe Ley
Jose Ameijeiras-Alonso
In the bioinformatics field, there has been a growing interest in modeling dihedral angles of amino acids by viewing them as data on the torus. This has motivated, over the past years, new proposals of distributions on the torus. The main d...
Fast Lasso method for large-scale and ultrahigh-dimensional Cox model with applications to UK Biobank [0.03%]
快速Lasso方法用于大规模和超高维Cox模型及对UK生物库的应用
Ruilin Li,Christopher Chang,Johanne M Justesen et al.
Ruilin Li et al.
We develop a scalable and highly efficient algorithm to fit a Cox proportional hazard model by maximizing the $L^1$-regularized (Lasso) partial likelihood function, based on the Batch Screening Iterative Lasso (BASIL) method developed in Qi...
Evaluation of treatment effect modification by biomarkers measured pre- and post-randomization in the presence of non-monotone missingness [0.03%]
在非单调缺失存在的情况下评估治疗效果受随机前后测量的生物标志物的影响
Yingying Zhuang,Ying Huang,Peter B Gilbert
Yingying Zhuang
In vaccine studies, an important research question is to study effect modification of clinical treatment efficacy by intermediate biomarker-based principal strata. In settings where participants entering a trial may have prior exposure and ...