23 citations
- University of Colorado AnschutzUS4 papers
- Harvard UniversityUS2 papers
- Heidelberg UniversityDE2 papers
- University Hospital HeidelbergDE2 papers
- University of Colorado DenverUS2 papers
- Center for Global HealthUS1 paper
- Cleveland ClinicUS1 paper
- Johns Hopkins UniversityUS1 paper
- Johnson UniversityUS1 paper
- Rutgers, The State University of New JerseyUS1 paper
- University Medical Center UtrechtNL1 paper
- University of British ColumbiaCA1 paper
10 papers
BioNeuralNet: A Graph Neural Network based Multi-Omics Network Data Analysis Tool
Vicente Ramos, Sundous Hussein, Mohamed Abdel-Hafiz +6
Multi-omics data offer unprecedented insights into complex biological systems, yet their high dimensionality, sparsity, and intricate interactions pose significant analytical chall…
Excess risk of heat-related hospitalization associated with temperature and PM2.5 among older adults
Lauren Mock, Rachel C. Nethery, Poonam Gandhi +5
Background: With rising temperatures and an aging population, understanding how to prevent heat-related illness among older adults will be increasingly crucial. Despite biological…
Residual-based Alternative Partial Least Squares for Generalized Functional Linear Models
Yue Wang, Xiao Wang, Joseph G. Ibrahim +1
Many biomedical studies collect high-dimensional medical imaging data to identify biomarkers for the detection, diagnosis, and treatment of human diseases. Consequently, it is cruc…
GeoDEN: A Visual Exploration Tool for Analysing the Geographic Spread of Dengue Serotypes
Aidan Marler, Yannik Roell, Steffen Knoblauch +3
Static maps and animations remain popular in spatial epidemiology of dengue, limiting the analytical depth and scope of visualisations. Over half of the global population live in d…
Walking fingerprinting
Lily Koffman, Ciprian Crainiceanu, Andrew Leroux
We consider the problem of predicting an individual's identity from accelerometry data collected during walking. In a previous paper we introduced an approach that transforms the a…
Fast, effective, and coherent time series modeling using the sparsity-ranked lasso
Ryan Peterson, Joseph Cavanaugh
The sparsity-ranked lasso (SRL) has been developed for model selection and estimation in the presence of interactions and polynomials. The main tenet of the SRL is that an algorith…