A powerful statistical framework for generalization testing in GWAS, with application to the HCHS/SOL
Sign Up to like & getrecommendations! 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… read more here.
Keywords: generalization; study; generalization testing; hchs sol ... See more keywords
A statistical framework for recovering pseudo-dynamic networks from static data.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: dynamic networks; framework recovering; recovering pseudo; pseudo dynamic ... See more keywords
A rigorous statistical framework for spatio‐temporal pollution prediction and estimation of its long‐term impact on health
Sign Up to like & getrecommendations! 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… read more here.
Keywords: disease data; pollution; spatio temporal; health ... See more keywords
A novel statistical framework for exploring the population dynamics and seasonality of mosquito populations
Sign Up to like & getrecommendations! 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… read more here.
Keywords: seasonality; framework; statistical framework; dynamics seasonality ... See more keywords
A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods
Sign Up to like & getrecommendations! 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… read more here.
Keywords: investigate optimality; framework; statistical framework; framework investigate ... See more keywords
A cross-validation statistical framework for asymmetric data integration.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: cross validation; integration; statistical framework; data integration ... See more keywords
MPRAnalyze: statistical framework for massively parallel reporter assays
Sign Up to like & getrecommendations! 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… read more here.
Keywords: framework; massively parallel; reporter assays; parallel reporter ... See more keywords
A Complex Radiomic Signature in Luminal Breast Cancer from a Weighted Statistical Framework: A Pilot Study
Sign Up to like & getrecommendations! 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… read more here.
Keywords: cancer; weighted statistical; statistical framework; breast cancer ... See more keywords