A review of statistical methods for protein identification using tandem mass spectrometry [0.03%]
多级质谱蛋白质鉴定的统计方法研究进展
Oliver Serang,William Noble
Oliver Serang
Tandem mass spectrometry has emerged as a powerful tool for the characterization of complex protein samples, an increasingly important problem in biology. The effort to efficiently and accurately perform inference on data from tandem mass s...
Generalized Linear and Mixed Models for Label-Free Shotgun Proteomics [0.03%]
(label-free) 非标定量质谱数据的广义线性和混合模型
Matthew C Leitch,Indranil Mitra,Rovshan G Sadygov
Matthew C Leitch
Label-free shotgun proteomics holds great promise, and has already had some great successes in pinpointing which proteins are up or down regulated in certain disease states. However, there are still some pressing issues concerning the stati...
Nikolay Bliznyuk,Raymond J Carroll,Marc G Genton et al.
Nikolay Bliznyuk et al.
Estimation of covariance function parameters of the error process in the presence of an unknown smooth trend is an important problem because solving it allows one to estimate the trend nonparametrically using a smoother corrected for depend...
Martha Skup
Martha Skup
Functional magnetic resonance imaging (fMRI) investigations of a longitudinal nature, where participants are scanned repeatedly over time and imaging data are obtained at more than one time-point, are essential to understanding functional c...
Jichun Xie,Justine Shults,Jon Peet et al.
Jichun Xie et al.
Quasi-least squares (QLS) is a two-stage computational approach for estimation of the correlation parameters in the framework of generalized estimating equations. We prove two general results for the class of mixed linear correlation struct...
Using Ascertainment for Targeted Resequencing to Increase Power to Identify Causal Variants [0.03%]
利用靶向重测序的鉴定权来增加识别致病变异的能力
M D Swartz,B Peng,C Reyes-Gibby et al.
M D Swartz et al.
Researchers continue to use genome-wide association studies (GWAS) to find the genetic markers associated with disease. Recent studies have added to the typical two-stage analysis a third stage that uses targeted resequencing on a randomly ...
Practical Consideration of Genotype Imputation: Sample Size, Window Size, Reference Choice, and Untyped Rate [0.03%]
基因型填充的实用考虑：样本量、窗口大小、参考选择和未检测率
Boshao Zhang,Degui Zhi,Kui Zhang et al.
Boshao Zhang et al.
Imputation offers a promising way to infer the missing and/or untyped genotypes in genetic studies. In practice, however, many factors may affect the quality of imputation. In this study, we evaluated the influence of untyped rate, sizes of...
Controlling Population Structure in Human Genetic Association Studies with Samples of Unrelated Individuals [0.03%]
利用无关个体样本控制人类遗传相关研究中的群体结构
Nianjun Liu,Hongyu Zhao,Amit Patki et al.
Nianjun Liu et al.
In genetic studies, associations between genotypes and phenotypes may be confounded by unrecognized population structure and/or admixture. Studies have shown that even in European populations, which are thought to be relatively homogeneous,...
Covariate-adjusted nonparametric analysis of magnetic resonance images using Markov chain Monte Carlo [0.03%]
基于马尔可夫链蒙特卡洛的协变量调整非参数磁共振图像分析方法研究
Haley Hedlin,Brian Caffo,Ziyad Mahfoud et al.
Haley Hedlin et al.
Permutation tests are useful for drawing inferences from imaging data because of their flexibility and ability to capture features of the brain under minimal assumptions. However, most implementations of permutation tests ignore important c...
Real data examples in statistical methods papers: Tremendously valuable, and also tremendously misvalued [0.03%]
统计学论文中真实数据实例的价值及误区
K Y Williams,Yun Joo Yoo,Amit Patki et al.
K Y Williams et al.
When a statistical methods paper is submitted to a journal for publication, examples in which the method is applied to real data are highly encouraged by many journals and in some cases are explicitly demanded. In this commentary, we argue ...