Approximating the Geisser-Greenhouse sphericity estimator and its applications to diffusion tensor imaging [0.03%]
Geisser-Greenhouse球面对角形估计的近似及其在扩散张量成像中的应用
Meagan E Clement-Spychala,David Couper,Hongtu Zhu et al.
Meagan E Clement-Spychala et al.
The diffusion tensor imaging (DTI) protocol characterizes diffusion anisotropy locally in space, thus providing rich detail about white matter tissue structure. Although useful metrics for diffusion tensors have been defined, statistical pr...
Using scientifically and statistically sufficient statistics in comparing image segmentations [0.03%]
利用科学且统计上充分的统计量比较图像分割结果
Yueh-Yun Chi,Keith E Muller
Yueh-Yun Chi
Automatic computer segmentation in three dimensions creates opportunity to reduce the cost of three-dimensional treatment planning of radiotherapy for cancer treatment. Comparisons between human and computer accuracy in segmenting kidneys i...
Yong Fuga Li,Randy J Arnold,Predrag Radivojac et al.
Yong Fuga Li et al.
We present a generic Bayesian framework for the peptide and protein identification in proteomics, and provide a unified interpretation for the database searching and the de novo peptide sequencing approaches that are used in peptide identif...
Statistical Inference of Biometrical Genetic Model With Cultural Transmission [0.03%]
具有文化传递的生物计量遗传模型的统计推断
Xiaobo Guo,Tian Ji,Xueqin Wang et al.
Xiaobo Guo et al.
Twin and family studies establish the foundation for studying the genetic, environmental and cultural transmission effects for phenotypes. In this work, we make use of the well established statistical methods and theory for mixed models to ...
Bayesian Analysis for Exponential Random Graph Models Using the Adaptive Exchange Sampler [0.03%]
自适应交换抽样算法在贝叶斯Exponential随机图模型中的应用分析
Ick Hoon Jin,Ying Yuan,Faming Liang
Ick Hoon Jin
Exponential random graph models have been widely used in social network analysis. However, these models are extremely difficult to handle from a statistical viewpoint, because of the intractable normalizing constant and model degeneracy. In...
Zakaria S Khondker,Hongtu Zhu,Haitao Chu et al.
Zakaria S Khondker et al.
Estimation of sparse covariance matrices and their inverse subject to positive definiteness constraints has drawn a lot of attention in recent years. The abundance of high-dimensional data, where the sample size (n) is less than the dimensi...
Inferring metabolic networks using the Bayesian adaptive graphical lasso with informative priors [0.03%]
基于备选先验的贝叶斯自适应图拉索方法在代谢网络中的应用
Christine Peterson,Marina Vannucci,Cemal Karakas et al.
Christine Peterson et al.
Metabolic processes are essential for cellular function and survival. We are interested in inferring a metabolic network in activated microglia, a major neuroimmune cell in the brain responsible for the neuroinflammation associated with neu...
On Permutation Procedures for Strong Control in Multiple Testing with Gene Expression Data [0.03%]
基因表达数据多重检验中强控制的排列方法研究
Grzegorz A Rempala,Yuhong Yang
Grzegorz A Rempala
We consider two popular, permutation-based, step-down procedures of p-values adjustment in multiple testing problems known as min P and max T and intended for strong control of the family-wise error rate, under the so-called subset pivotali...
Additive hazards regression and partial likelihood estimation for ecological monitoring data across space [0.03%]
空间生态监测数据的加性危害回归和部分似然估计方法研究
Feng-Chang Lin,Jun Zhu
Feng-Chang Lin
We develop continuous-time models for the analysis of environmental or ecological monitoring data such that subjects are observed at multiple monitoring time points across space. Of particular interest are additive hazards regression models...
Analyzing LC-MS/MS data by spectral count and ion abundance: two case studies [0.03%]
基于谱图计数和离子丰度的LC-MS/MS数据分析：两个案例研究
Thomas I Milac,Timothy W Randolph,Pei Wang
Thomas I Milac
In comparative proteomics studies, LC-MS/MS data is generally quantified using one or both of two measures: the spectral count, derived from the identification of MS/MS spectra, or some measure of ion abundance derived from the LC-MS data. ...