A total of 172 children from the DAISY study with multiple plasma samples collected over time, with up to 23 years of follow-up, were characterized via proteomics analysis. Of the children there were 40 controls and 132 cases. All 132 cases had measurements across time relative to IA. Sampling was...
Filter results
Category
- (-) Computational Research (13)
- (-) Materials Science (5)
- Scientific Discovery (254)
- Biology (157)
- Earth System Science (112)
- Human Health (82)
- Integrative Omics (57)
- Microbiome Science (32)
- National Security (16)
- Computing & Analytics (10)
- Chemistry (8)
- Energy Resiliency (7)
- Visual Analytics (6)
- Atmospheric Science (4)
- Chemical & Biological Signatures Science (4)
- Computational Mathematics & Statistics (4)
- Data Analytics & Machine Learning (4)
- Weapons of Mass Effect (4)
- Coastal Science (3)
- Data Analytics & Machine Learning (3)
- Ecosystem Science (3)
- Plant Science (3)
- Renewable Energy (3)
- Cybersecurity (2)
- Distribution (2)
- Electric Grid Modernization (2)
- Grid Cybersecurity (2)
- Bioenergy Technologies (1)
- Computational Mathematics & Statistics (1)
- Energy Efficiency (1)
- Energy Storage (1)
- Grid Analytics (1)
- High-Performance Computing (1)
- Solar Energy (1)
- Subsurface Science (1)
- Terrestrial Aquatics (1)
- Transportation (1)
- Wind Energy (1)
Publication Type
Tags
- Machine Learning (2)
- Polymer Materials (2)
- Software Data Analysis (2)
- Type 1 Diabetes (2)
- Alternative Splicing (1)
- Autoimmunity (1)
- DNA Sequence Analysis (1)
- Fish Detection (1)
- Functional Annotation Analysis (1)
- High-Performance Computing (1)
- Hydropower (1)
- Kmers (1)
- Marine and Hydrokinetic (1)
- Predictive Modeling (1)
- Python (1)
- RNA Sequence Analysis (1)
- Snakemake (1)
- Software Development (1)
- Statistical Expression Analysis (1)
- underwater video (1)
Showing 16 - 18 of 18
This data is supplementary to the manuscript Expanding the access of wearable silicone wristbands in community-engaged research through best practices in data analysis and integration by Lisa M. Bramer, Holly M. Dixon, David J. Degnan, Diana Rohlman, Julie B. Herbstman, Kim A. Anderson, and Katrina...
Comprised of 6,426 sample runs, The Environmental Determinants of Diabetes in the Young (TEDDY) proteomics validation study constitutes one of the largest targeted proteomics studies in the literature to date. Making quality control (QC) and donor sample data available to researchers aligns with...