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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 2024 at "eLife"
DOI: 10.1101/2023.04.07.536075
Abstract: Influenza A virus transcribes viral mRNAs from the eight segmented viral genome when it infects. The kinetics of viral transcription, nuclear export of viral transcripts, and their potential variation between the eight segments are poorly…
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Keywords:
nuclear export;
statistical framework;
export rate;
viral mrnas ... 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
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Published in 2025 at "Sustainability"
DOI: 10.3390/su17041430
Abstract: Contemporary challenges in destination management, particularly those related to sustainability, tourism behavior, and mobility, require granular, local-scale data to inform public and private sector decisions. However, the traditional international tourism statistics standards, such as IRTS…
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Keywords:
sustainability tourism;
tourism;
statistical framework;
tourism statistics ... See more keywords