An overview of deep learning methods for multimodal medical data mining
Deep learning methods have achieved significant results in various fields. Due to the
success of these methods, many researchers have used deep learning algorithms in …
success of these methods, many researchers have used deep learning algorithms in …
From blackbox to explainable AI in healthcare: existing tools and case studies
Introduction. Artificial intelligence (AI) models have been employed to automate decision‐
making, from commerce to more critical fields directly affecting human lives, including …
making, from commerce to more critical fields directly affecting human lives, including …
Understanding the pathogenesis of abdominal aortic aneurysms
An aortic aneurysm is a dilatation in which the aortic diameter is≥ 3.0 cm. If left untreated,
the aortic wall continues to weaken and becomes unable to withstand the forces of the …
the aortic wall continues to weaken and becomes unable to withstand the forces of the …
Leveraging functional annotations in genetic risk prediction for human complex diseases
Genetic risk prediction is an important goal in human genetics research and precision
medicine. Accurate prediction models will have great impacts on both disease prevention …
medicine. Accurate prediction models will have great impacts on both disease prevention …
Privacy risks from genomic data-sharing beacons
SS Shringarpure, CD Bustamante - The American Journal of Human …, 2015 - cell.com
The human genetics community needs robust protocols that enable secure sharing of
genomic data from participants in genetic research. Beacons are web servers that answer …
genomic data from participants in genetic research. Beacons are web servers that answer …
Clinical genomics in inflammatory bowel disease
Genomic technologies inform the complex genetic basis of polygenic inflammatory bowel
disease (IBD) as well as Mendelian disease-associated IBD. Aiming to diagnose patients …
disease (IBD) as well as Mendelian disease-associated IBD. Aiming to diagnose patients …
Data integration and predictive modeling methods for multi-omics datasets
M Kim, I Tagkopoulos - Molecular omics, 2018 - pubs.rsc.org
Translating data to knowledge and actionable insights is the Holy Grail for many scientific
fields, including biology. The unprecedented massive and heterogeneous data have created …
fields, including biology. The unprecedented massive and heterogeneous data have created …
Joint modeling of genetically correlated diseases and functional annotations increases accuracy of polygenic risk prediction
Accurate prediction of disease risk based on genetic factors is an important goal in human
genetics research and precision medicine. Advanced prediction models will lead to more …
genetics research and precision medicine. Advanced prediction models will lead to more …
The genetic architecture of high bone mass
CL Gregson, EL Duncan - Frontiers in Endocrinology, 2020 - frontiersin.org
The phenotypic trait of high bone mass (HBM) is an excellent example of the nexus between
common and rare disease genetics. HBM may arise from carriage of many 'high bone …
common and rare disease genetics. HBM may arise from carriage of many 'high bone …
PUMAS: fine-tuning polygenic risk scores with GWAS summary statistics
Polygenic risk scores (PRSs) have wide applications in human genetics research, but often
include tuning parameters which are difficult to optimize in practice due to limited access to …
include tuning parameters which are difficult to optimize in practice due to limited access to …