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[PDF] Top 20 An Efficient Association Test for High Dimensional Data, with Application in Genetic Studies

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An Efficient Association Test for High Dimensional Data, with Application in Genetic Studies

An Efficient Association Test for High Dimensional Data, with Application in Genetic Studies

... of high-dimensional data is to reliably identify true patterns of relationship in the data in a computa- tionally efficient manner, yet simultaneously minimizing the number of spurious ...in ... See full document

5

Powerful Genetic Association Analysis for Common or Rare Variants with High-Dimensional Structured Traits

Powerful Genetic Association Analysis for Common or Rare Variants with High-Dimensional Structured Traits

... the association between high-dimensional structured traits and multiple SNPs or rare ...kernel association tests ...of high-dimensional, structured traits, where we propose a ... See full document

12

Computationally efficient mixed effect model for genetic analysis of high dimensional neuroimaging data

Computationally efficient mixed effect model for genetic analysis of high dimensional neuroimaging data

... for high dimensional imaging ...real data analysis revealed that WLS and fully converged heritability estimators have comparable performances in terms of bias and mean squared ...of test ... See full document

128

Association of repeatedly measured intermediate risk factors for complex diseases with high dimensional SNP data

Association of repeatedly measured intermediate risk factors for complex diseases with high dimensional SNP data

... both studies showed an association between SNPs located near or in the CETP gene and the HDL ...both studies show that the random intercepts get the highest loadings and cross-loading, while the ... See full document

13

An adaptive association test for microbiome data

An adaptive association test for microbiome data

... microbiome studies aim to detect a possible asso- ciation of the human microbiome with a phenotype, such as a disease status, called an outcome (of interest) here, after adjusting for potential ...tion ... See full document

12

Statistical Methods in Genetic Association Studies

Statistical Methods in Genetic Association Studies

... in genetic data analysis. Analysis of a data set typically involves statistical testing of not just a single hypothesis, but many, as required for candidate gene and genome-wide association ... See full document

134

Application of noncollapsing methods to the gene based association test: a comparison study using Genetic Analysis Workshop 18 data

Application of noncollapsing methods to the gene based association test: a comparison study using Genetic Analysis Workshop 18 data

... genome-wide association stu- dies (GWAS) have rapidly become a standard method for discovering susceptible genes for a variety of complex diseases ...on association signals cap- tured by common variants ... See full document

6

Statistical Methods for High Dimensional Count and Compositional Data With Applications to Microbiome Studies

Statistical Methods for High Dimensional Count and Compositional Data With Applications to Microbiome Studies

... the studies of microbiomes in very large-scale possible without cultivation in ...microbiome studies is to sequence specific genes (often the 16S rRNA gene) to produce a profile of diversity of bacterial ... See full document

113

Accounting for relatedness in family based association studies: application to Genetic Analysis Workshop 18 data

Accounting for relatedness in family based association studies: application to Genetic Analysis Workshop 18 data

... Figure 1 shows the Q-Q plots and genomic inflation fac- tors for different methods. It is well known that population substructure and relatedness will cause an inflated distri- bution of genome-wide association ... See full document

5

Identification of influential observations in high-dimensional cancer survival data through the rank product test

Identification of influential observations in high-dimensional cancer survival data through the rank product test

... This dataset was analyzed in three different ways. In the first analysis the following regularization methods were performed [18]: 1) Lasso, 2) Lasso and elastic net, lead- ing to two different sets of selected genes. ... See full document

14

Selected Topics in Statistical Computing and Genomic Data Analysis.

Selected Topics in Statistical Computing and Genomic Data Analysis.

... of application examples of biclustering such as voting data (Harti- gan, 1972), Collaborative filtering recommendation system (Elnabarawy, Wunsch, and Abdelbar, 2016) and Lung cancer data (Yun and ... See full document

170

Genetics and sychosis

Genetics and sychosis

... GWAS focus on detecting common genetic variants that each have a very small effect on risk. In contrast, larger-scale chromosomal variants, particularly deletions or duplications known as copy number variants ... See full document

7

An Emerging Trend of Big Data for High Volume and Varieties of Data to Search of Agricultural Data

An Emerging Trend of Big Data for High Volume and Varieties of Data to Search of Agricultural Data

... The data in amount of large size in world is growing day by day. Data is growing because of use of digitization, internet, smart cell and social media and ...of data sets which is very large in size ... See full document

6

Coronary Heart Disease and Biomarkers and Its Clinical Application

Coronary Heart Disease and Biomarkers and Its Clinical Application

... Recently, research of microRNA turned into a hot spot and new bio-marker for CVD. microRNAs act as regulators of gene expression through binding complementary sequences within the mRNAs of their target genes to ... See full document

8

A new gene based association test for genome wide association studies

A new gene based association test for genome wide association studies

... gene-based test has some ...the genetic information ...gene-based test to a region-based test. In our test, we used the gene as the unit of the analysis, but a genomic region of a fixed ... See full document

5

Novel human genetic variants associated with extrapulmonary tuberculosis: a pilot genome wide association study

Novel human genetic variants associated with extrapulmonary tuberculosis: a pilot genome wide association study

... the data (especially at the top right portion of the plot), whereas a large number of p-values below the diagonal line indicate low statisti- cal ...of genetic Table 1 Clinical and Demographic ... See full document

10

Genetic association study of PDLIM5 and HTR2A variants in Malaysian subjects diagnosed with bipolar disorder; a genetic modelling approach

Genetic association study of PDLIM5 and HTR2A variants in Malaysian subjects diagnosed with bipolar disorder; a genetic modelling approach

... Abstract: Genetic hereditary has been implicated in bipolar disorder ...its association with bipolar disorder in various populations, however, the results have been ...the association between bipolar ... See full document

10

Analysis Challenges for High Dimensional Data

Analysis Challenges for High Dimensional Data

... design matrix. A key component in DTCCS is the choice of the tuning parameters λ’s (the amount of tilting). The choice of λ’s is connected with the selection of the step size d. The principle of the selection criterion ... See full document

153

Booster in High Dimensional Data Classification

Booster in High Dimensional Data Classification

... There are two concepts in Booster to reflect the two domains. The first is the shape, Booster’sequivalent of a traditional array[6] a finite set of elements of a certain data-type, accessible through indices. ... See full document

7

Booster in High Dimensional Data Classification

Booster in High Dimensional Data Classification

... We propose a framework for personalized web search which considers individual's interest into mind and enhances the traditional web search by suggesting the relevant pages of his/her interest. We have proposed a simple ... See full document

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