Integrated analysis of multidimensional omics data

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

【摘要】

：

In the study of cancer and other complex diseases,multiple types of omics measurements(including mRNA gene expression,methylation,copy number variation,SNP,etc.)have been found to play important roles

【作者】

：

Xingjie Shi Shuangge Ma

【机构】

：

Department of Statistics,Nanjing University of Finance and Economics,210046,China

【出处】

：

上海交通大学

【发表日期】

：

2016年4期

【关键词】

：

Integrated analysis double Laplacian shrinkage network adjacency

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

其他文献

Optimal Sequential Enrichment Designs for Phase Ⅱ Clinical Trials

In the early phase development of molecularly targeted agents(MTAs),a commonly encountered situation is that the MTA is expected to be more effective for a certain biomarker subgroup,say marker-positi

会议

subgroupspersonalized medicinemolecularly targeted agentsphase Ⅱ trials

Statistical Inference for Functional Partial Linear Model with Missing Response at Random

In this paper,we consider functional partial linear models proposed by Lian(2011)when the response variables are missing at random.

会议

Functional Partial Linear ModelsMissing at RandomPolynomial SplineFunctional

Sequential safety monitoring for alerting and stopping a development program

In pivotal Phase 3 trials where adverse events have been identified in advance,regulatory requirements often call for development programs to adequately demonstrate an acceptable drug safety profile.

会议

Sequential safety monitoringMultiplicity

Nonparametric Methods in Business Analytics

Business analytics refers to data-driven decision making in business.Nonparametric methods are playing an increasing role in business analytics,fueled by increasing data complexity and dimensionality.

会议

customer contact centerhealthcareprecision medicinehazard functiontime serie

Penalized empirical likelihood inference for sparse additive hazards regression with a divergent num

High-dimensional sparse modelling with censored survival data is of great practical importance,as exemplified by applications in high-throughput genomic data analysis.

会议

Penalized empirical likelihoodEmpirical likelihood ratioOracle propertySmooth

local times of two kinds of multifractional stable sheets

Let XH(t)(t)= {XH(t)(t),t ∈ RN+} be multifractional stable sheets with Hurst function H(t),where H(t)=(H1(t),...,HN(t))is a function in t ∈ RN+with values in(0,1)N.

会议

multifractional stable sheetssectorial local nondeterminismlocal timesjoint c

Bayesian optimal interval design for dose finding based on both efficacy and toxicity outcomes

One of the main purposes of a phase dose-finding trial in oncology is to identify a tolerable dose with an indication of therapeutic benefit to administer to subjects in subsequent phase Ⅱ and Ⅲ trial

会议

Bayesian adaptive designdose-findinginterval designnonparametric methodphase

A LACK-OF-FIT TEST WITH SCREENING IN SUFFICIENT DIMENSION REDUCTION FOR ULTRAHIGH DIMENSIONAL DATA

It is of fundamental importance to infer how the conditional mean of the response varies with the predictors in high dimensional data analysis.

会议

Bootstrap procedureCentral mean subspaceLack-of-fit testSufficient dimension

The most concordant cutoff point from an ROC curve for

Continuous diagnostic variables are often split at a cutoff value for diagnosis of diseased and normal status.

会议

Kappa StatisticsReceiver Operating Characteristics CurveSensitivitySpecificit

Active learning in binary classification problems via stochastic linear regression

In most classification applications,classifiers are trained with labeled data.Modern computing and communication technologies can make data collection procedures very efficient.

会议

ROC curveActive learningStopping ruleD-optimal designShrinkage estimate

Integrated analysis of multidimensional omics data

其他学术论文