Principal component analysis
Abstract Principal component analysis (PCA) is a multivariate technique that analyzes a data table in which observations are described by several inter‐correlated quantitative d...
Publications
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Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
There is increasing evidence that genome-wide association (GWA) studies represent a powerful approach to the identification of genes involved in common human diseases. We descri...
Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
Collinearity refers to the non independence of predictor variables, usually in a regression‐type analysis. It is a common feature of any descriptive ecological data set and can ...
Velvet: Algorithms for de novo short read assembly using de Bruijn graphs
We have developed a new set of algorithms, collectively called “Velvet,” to manipulate de Bruijn graphs for genomic sequence assembly. A de Bruijn graph is a compact representat...
Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
This paper demonstrates theoretically and empirically that a greedy algorithm called Orthogonal Matching Pursuit (OMP) can reliably recover a signal with $m$ nonzero entries in ...
The Genotype-Tissue Expression (GTEx) project.
Genome-wide association studies have identified thousands of loci for common diseases, but, for the majority of these, the mechanisms underlying disease susceptibility remain un...
Correlation Coefficients: Appropriate Use and Interpretation
Correlation in the broadest sense is a measure of an association between variables. In correlated data, the change in the magnitude of 1 variable is associated with a change in ...
The UK Biobank resource with deep phenotyping and genomic data
Abstract The UK Biobank project is a prospective cohort study with deep genetic and phenotypic data collected on approximately 500,000 individuals from across the United Kingdom...
On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks
ABSTRACT We find support for a negative relation between conditional expected monthly return and conditional variance of monthly return, using a GARCH‐M model modified by allowi...
Finance and Growth: Schumpeter Might Be Right
Finance matters. The level of a country's financial development helps predict its rate of economic growth for the following 10 to 30 years. The data are consistent with...