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One or more keywords matched the following properties of Stephens, Matthew
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overview My lab works on a wide variety of problems at the interface of Statistics and Genetics. We often tackle problems where novel statistical methods are required, or can learn something new compared with existing approaches. Thus, much of our research involves developing new statistical methodology, many of which have a non-trivial computational component. People in my lab tend to come from a quantitative background (e.g., Statistics, Computer Science), with varying levels of formal or informal Biology training.
One or more keywords matched the following items that are connected to Stephens, Matthew
Item TypeName
Concept Models, Statistical
Concept Computational Biology
Academic Article Practical issues in imputation-based association mapping.
Academic Article Fast and accurate genotype imputation in genome-wide association studies through pre-phasing.
Academic Article Probabilistic segmentation and intensity estimation for microarray images.
Academic Article A unified framework for association analysis with multiple related phenotypes.
Academic Article Imputation-based analysis of association studies: candidate regions and quantitative traits.
Academic Article A fast and flexible statistical model for large-scale population genotype data: applications to inferring missing genotypes and haplotypic phase.
Academic Article A Simple Model-Based Approach to Inferring and Visualizing Cancer Mutation Signatures.
Academic Article False discovery rates: a new deal.
Academic Article Visualizing the structure of RNA-seq expression data using grade of membership models.
Academic Article Empirical Bayes shrinkage and false discovery rate estimation, allowing for unwanted variation.
Academic Article Accurate genomic prediction of Coffea canephora in multiple environments using whole-genome statistical models.
Academic Article Characterizing and inferring quantitative cell cycle phase in single-cell RNA-seq data analysis.
Academic Article Mendelian randomization accounting for correlated and uncorrelated pleiotropic effects using genome-wide summary statistics.
Search Criteria
  • computational
  • statistical models