A New Bayesian Lasso [0.03%]
一种新的贝叶斯LASSO方法
Himel Mallick,Nengjun Yi
Himel Mallick
Park and Casella (2008) provided the Bayesian lasso for linear models by assigning scale mixture of normal (SMN) priors on the parameters and independent exponential priors on their variances. In this paper, we propose an alternative Bayesi...
A penalized likelihood approach for robust estimation of isoform expression [0.03%]
用于稳健估计转录本表达的惩罚似然方法
Hui Jiang,Julia Salzman
Hui Jiang
Ultra high-throughput sequencing of transcriptomes (RNA-Seq) has enabled the accurate estimation of gene expression at individual isoform level. However, systematic biases introduced during the sequencing and mapping processes as well as in...
Approaches to retrospective sampling for longitudinal transition regression models [0.03%]
回顾性抽样在纵向转换回归模型中的应用
Sally Hunsberger,Paul S Albert,Marie Thoma
Sally Hunsberger
For binary diseases that relapse and remit, it is often of interest to estimate the effect of covariates on the transition process between disease states over time. The transition process can be characterized by modeling the probability of ...
Variable selection in strong hierarchical semiparametric models for longitudinal data [0.03%]
纵向数据强层次半参数模型的变量选择方法研究
Xianbin Zeng,Shuangge Ma,Yichen Qin et al.
Xianbin Zeng et al.
In this paper, we consider the variable selection problem in semiparametric additive partially linear models for longitudinal data. Our goal is to identify relevant main effects and corresponding interactions associated with the response va...
Stratified Psychiatry via Convexity-Based Clustering with Applications Towards Moderator Analysis [0.03%]
基于凸性的 stratified 精神病学聚类及其在 moderator 分析中的应用
Thaddeus Tarpey,Eva Petkova,Liangyu Zhu
Thaddeus Tarpey
Understanding heterogeneity in phenotypical characteristics, symptoms manifestations and response to treatment of subjects with psychiatric illnesses is a continuing challenge in mental health research. A long-standing goal of medical studi...
A modified classification tree method for personalized medicine decisions [0.03%]
一种用于个性化医疗决策的分类树方法及其改进算法
Wan-Min Tsai,Heping Zhang,Eugenia Buta et al.
Wan-Min Tsai et al.
The tree-based methodology has been widely applied to identify predictors of health outcomes in medical studies. However, the classical tree-based approaches do not pay particular attention to treatment assignment and thus do not consider p...
Quantile regression for censored mixed-effects models with applications to HIV studies [0.03%]
删失的混合效应模型的分位数回归及其在HIV研究中的应用
Victor H Lachos,Ming-Hui Chen,Carlos A Abanto-Valle et al.
Victor H Lachos et al.
HIV RNA viral load measures are often subjected to some upper and lower detection limits depending on the quantification assays. Hence, the responses are either left or right censored. Linear/nonlinear mixed-effects models, with slight modi...
Rare variant testing across methods and thresholds using the multi-kernel sequence kernel association test (MK-SKAT) [0.03%]
基于多核序列核关联检验的罕见变异分析方法和阈值的研究
Eugene Urrutia,Seunggeun Lee,Arnab Maity et al.
Eugene Urrutia et al.
Analysis of rare genetic variants has focused on region-based analysis wherein a subset of the variants within a genomic region is tested for association with a complex trait. Two important practical challenges have emerged. First, it is di...
motifDiverge: a model for assessing the statistical significance of gene regulatory motif divergence between two DNA sequences [0.03%]
motifDiverge：一种用于评估两个DNA序列之间基因调控元件分化统计显著性的模型
Dennis Kostka,Tara Friedrich,Alisha K Holloway et al.
Dennis Kostka et al.
Next-generation sequencing technology enables the identification of thousands of gene regulatory sequences in many cell types and organisms. We consider the problem of testing if two such sequences differ in their number of binding site mot...
An extended Tajima's D neutrality test incorporating SNP calling and imputation uncertainties [0.03%]
一种扩展的Tajima's D中性检验方法，结合SNP调用和估算不确定性
Qingrun Zhang,Chris Tyler-Smith,Quan Long
Qingrun Zhang
To identify evolutionary events from the footprints left in the patterns of genetic variation in a population, people use many statistical frameworks, including neutrality tests. In datasets from current high throughput sequencing and genot...