A minimum projected-distance test for parametric single-index Berkson models
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DOI: 10.1007/s11749-017-0568-9
Abstract: In this paper, we propose a minimum projected-distance test for parametric single-index regression models when the predictors are measured with Berkson errors. This test asymptotically behaves like a locally smoothing test as if the null… read more here.
Keywords: distance test; minimum projected; test parametric; parametric single ... See more keywords
Nearest-neighbor Projected-Distance Regression (NPDR) for detecting network interactions with adjustments for multiple tests and confounding
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DOI: 10.1093/bioinformatics/btaa024
Abstract: Machine learning feature selection methods are needed to detect complex interaction-network effects in complicated modeling scenarios in high-dimensional data, such as GWAS, gene expression, eQTL, and structural/functional neuroimage studies for case-control or continuous outcomes. In… read more here.
Keywords: nearest neighbor; distance regression; regression; neighbor projected ... See more keywords
Fast and Accurate Detection of Complex Imaging Genetics Associations Based on Greedy Projected Distance Correlation
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2017.2783244
Abstract: Recent advances in imaging genetics produce large amounts of data including functional MRI images, single nucleotide polymorphisms (SNPs), and cognitive assessments. Understanding the complex interactions among these heterogeneous and complementary data has the potential to… read more here.
Keywords: genetics; imaging genetics; correlation; projected distance ... See more keywords