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Published in 2017 at "Genetic Epidemiology"
DOI: 10.1002/gepi.22029
Abstract: In genome‐wide association studies (GWAS), “generalization” is the replication of genotype‐phenotype association in a population with different ancestry than the population in which it was first identified. Current practices for declaring generalizations rely on testing…
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Keywords:
generalization;
study;
generalization testing;
hchs sol ... See more keywords
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Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac038
Abstract: MOTIVATION The collection of temporal or perturbed data is often a prerequisite for reconstructing dynamic networks in most cases. However, these types of data are seldom available for genomic studies in medicine, thus significantly limiting…
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Keywords:
dynamic networks;
framework recovering;
recovering pseudo;
pseudo dynamic ... See more keywords
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Published in 2017 at "Biostatistics"
DOI: 10.1093/biostatistics/kxw048
Abstract: &NA; In the United Kingdom, air pollution is linked to around 40000 premature deaths each year, but estimating its health effects is challenging in a spatio‐temporal study. The challenges include spatial misalignment between the pollution…
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Keywords:
disease data;
pollution;
spatio temporal;
health ... See more keywords
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Published in 2022 at "Proceedings of the Royal Society B: Biological Sciences"
DOI: 10.1098/rspb.2022.0089
Abstract: Understanding the temporal dynamics of mosquito populations underlying vector-borne disease transmission is key to optimizing control strategies. Many questions remain surrounding the drivers of these dynamics and how they vary between species—questions rarely answerable from…
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Keywords:
seasonality;
framework;
statistical framework;
dynamics seasonality ... See more keywords
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Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2023.3282062
Abstract: We present a statistical framework to benchmark the performance of reconstruction algorithms for linear inverse problems, in particular, neural-network-based methods that require large quantities of training data. We generate synthetic signals as realizations of sparse…
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Keywords:
investigate optimality;
framework;
statistical framework;
framework investigate ... See more keywords
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Published in 2022 at "Biometrics"
DOI: 10.1111/biom.13685
Abstract: The proliferation of biobanks and large public clinical datasets enables their integration with a smaller amount of locally gathered data for the purposes of parameter estimation and model prediction. However, public datasets may be subject…
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Keywords:
cross validation;
integration;
statistical framework;
data integration ... See more keywords
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Published in 2019 at "Genome Biology"
DOI: 10.1186/s13059-019-1787-z
Abstract: Massively parallel reporter assays (MPRAs) can measure the regulatory function of thousands of DNA sequences in a single experiment. Despite growing popularity, MPRA studies are limited by a lack of a unified framework for analyzing…
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Keywords:
framework;
massively parallel;
reporter assays;
parallel reporter ... See more keywords
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Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12020499
Abstract: Radiomics is rapidly advancing in precision diagnostics and cancer treatment. However, there are several challenges that need to be addressed before translation to clinical use. This study presents an ad-hoc weighted statistical framework to explore…
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Keywords:
cancer;
weighted statistical;
statistical framework;
breast cancer ... See more keywords