A5082374682- Water-Energy-Food Nexus Studies
- Hydrology and Drought Analysis
- Water Governance and Infrastructure
- Conservation, Biodiversity, and Resource Management
- Remote Sensing and LiDAR Applications
- Fish Ecology and Management Studies
- Remote-Sensing Image Classification
- 3D Surveying and Cultural Heritage
- Aquatic Invertebrate Ecology and Behavior
- Molecular Biology Techniques and Applications
- Land Use and Ecosystem Services
- Wildlife Ecology and Conservation
- Remote Sensing and Land Use
- Environmental Philosophy and Ethics
- Hydrology and Watershed Management Studies
- RNA Research and Splicing
- Diverse Topics in Contemporary Research
- Flood Risk Assessment and Management
- Archaeological Research and Protection
- RNA modifications and cancer
United States Geological Survey
2024
Upper Midwest Environmental Sciences Center
2024
Iowa State University
2016-2024
Abstract Motivation A central task of bioinformatics is to develop sensitive and specific means providing medical prognoses from biomarker patterns. Common methods predict phenotypes in RNA-Seq datasets utilize machine learning algorithms trained via gene expression. Isoforms, however, generated alternative splicing, may provide a novel complementary set transcripts for phenotype prediction. In contrast expression, the number isoforms increases significantly due numerous splicing patterns,...
Abstract Background Hidden Markov Models (HMMs) are often used to model multi-state capture-recapture data in ecology. However, a variety of HMM modeling approaches and software exist, including both maximum likelihood Bayesian methods. The diversity these methods obscures the underlying can exaggerate minor differences parameterization. Methods In this paper, we describe general framework for modelling via HMMs using We then apply an invasive silver carp telemetry from Illinois River...
Global surface water classification layers, such as the European Joint Research Centre’s (JRC) Monthly Water History dataset, provide a starting point for accurate and large scale analyses of trends in waterbody extents. On local scale, there is an opportunity to increase accuracy temporal frequency these maps by using locally trained classifiers gap-filling missing values via imputation all available satellite images. We developed Surface IMputation (SWIM) framework R Google Earth Engine...