Investigating differential variability for DNA methylation data

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：objzobjz3

【摘要】

：

【作者】

：

Weiliang Qiu Xuan Li Jarret Morrow Dawn DeMeo Scott Weiss Xiaogang Wang Yuejiao Fu

【机构】

：

Harvard Medical School,02115,USA York University,

【出处】

：

上海交通大学

【发表日期】

：

2016年4期

【关键词】

：

Brown-Forsythe's test Levene's test logistic regression systematic sim

下载到本地 , 更方便阅读

下载此文赞助VIP

声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架

论文部分内容阅读

　　DNA methylation is a mechanism that regulates gene expression without changing genetic coding.Recently researchers found that DNA methylation marks that are differentially variable(DV)between cancer patients and normal subjects could provide additional biological information to uncover the molecular mechansims of the cancer of interest.

其他文献

Modeling the Oklahoma Mesonet Data with a Multivariate Spatial Dirichlet Process Mixture

The Oklahoma Mesonet is a monitoring network,which consists of more than one hundred automated stations covering the entire state.

会议

MesonetSpatialMultivariateDirichlet

High Dimensional Variable Selection for Longitudinal Data with Covariate Measurement Error and Respo

We develop a novel approach for analyzing high dimensional longitudinal data with co-variate measurement error and response dropout.

会议

Penalized estimating equationsMeasurement errorMissing at randomVariable sele

A goodness-of-fit test for the ordered stereotype model

This talk presents a new goodness-of-fit test for an ordered stereotype model used for an ordinal response variable.

会议

Goodness-of-fitHosmer-Lemeshow testordinal dataordered stereotype modeluneve

Intelligent Sampling for Identifying Thresholds in Observed Databases and Time Series

In threshold and location estimation one often tries to minimize over a set of location and auxiliary parameters,with the former adding computational time to what can be otherwise simple optimization

会议

change pointadaptive sampling

Resampling Procedure for Post-Model-Selection Inference under Linear Regression Models

Data-driven model selection introduces uncertainties which hamper application of stan-dard theory to the distributions of post-model-selection least squares estimators derived from a se-lected linear

会议

least squares estimatorpost-model-selectionregressionresidual bootstrap

Simultaneous multiple change-point and factor analysis for high-dimensional time series

In this paper,we propose a method for simultaneously analysing the factor structure of the data and detecting(possibly)multiple change-points in high-dimensional time series.

会议

change-point analysisfactor analysishigh-dimensional time seriesdimension red

Pseudo-likelihood and bootstrapped pseudo-likelihood inference in logistic regression model with mis

Logistic regression is an important and widely used regression model for binary responses and is extensively used in many applied fields.

会议

Logistic regressionMisclassificationBootstrapEstimating equationConsistency

Rotation Survival Forest for High Dimensional Censored Data

In this study,we extend rotation forest to high dimensional censored time-to-event data analysis by combing random subspace,bagging and rotation forest.

会议

survival ensemblerotation forestcensored datahigh-dimensional data

Robust diagnostics for mixed continuous and categorical data with missing values

This paper applies the forward search to obtain robust log-likelihood values to detect the presence of outliers in a sample of mixed continuous and categorical data with missing values.

会议

Forward search algorithmmissing valuesmultiple outliersrobust diagnostics

U-STATISTICS FOR SOME MISSING DATA MODELS

For some commonly used censored data models,the U-statistic for estimating some functionals of the underlying distribution cannot be computed directly,as the corresponding kernel requires all original

会议

Conditional kernelincomplete data modelNPMLEU-statistics

Investigating differential variability for DNA methylation data

与本文相关的学术论文