A5072102359- Myasthenia Gravis and Thymoma
- Cancer Genomics and Diagnostics
- Soil Carbon and Nitrogen Dynamics
- Gut microbiota and health
- Plant nutrient uptake and metabolism
- Meningioma and schwannoma management
- Gene expression and cancer classification
- Statistical Methods and Bayesian Inference
- Cardiac Arrest and Resuscitation
- Genomics and Phylogenetic Studies
- Genetic Mapping and Diversity in Plants and Animals
- Bayesian Methods and Mixture Models
- Molecular Biology Techniques and Applications
- Salivary Gland Tumors Diagnosis and Treatment
- Legume Nitrogen Fixing Symbiosis
- Insurance, Mortality, Demography, Risk Management
- Cardiac Ischemia and Reperfusion
- Genetic and phenotypic traits in livestock
- Statistical Methods in Clinical Trials
- Topic Modeling
- Trauma and Emergency Care Studies
- Lung Cancer Treatments and Mutations
- Statistical Methods and Inference
- Plant responses to water stress
- Meta-analysis and systematic reviews
Cancer Research And Biostatistics
2023-2024
Iowa State University
2018-2023
Harborview Medical Center
2023
University of Washington
2020-2023
Seagen (United States)
2021
Institute for Health Metrics and Evaluation
2020
Understanding potential patterns in future population levels is crucial for anticipating and planning changing age structures, resource health-care needs, environmental economic landscapes. Future fertility are a key input to estimation of size, but they surrounded by substantial uncertainty diverging methodologies forecasting, leading important differences global projections. Changing size structure might have profound economic, social, geopolitical impacts many countries. In this study, we...
Sorghum (Sorghum bicolor [L.] Moench) is the fifth most productive cereal crop worldwide with some hybrids having high biomass yield traits making it promising for sustainable, economical biofuel production. To maximize feedstock yields, a more complete understanding of metabolic responses to low nitrogen (N) will be useful incorporation in improvement efforts. In this study, 10 diverse sorghum entries (including inbreds and hybrids) were field-grown under full N conditions roots sampled at...
The development of cereal crops with high nitrogen use efficiency (NUE) is a priority for worldwide agriculture. In addition to conventional plant breeding and genetic engineering, the microbiome offers another approach improving crop NUE. To gain insight into bacterial communities associated sorghum lines that differ in NUE, field experiment was designed comparing 24 diverse
A lymph node map is the pillar on which accurate assignment and documentation of nodal classification stands. The International Thymic Malignancy Interest Group created first for thymic epithelial malignancies in conjunction with eighth edition TNM classification, representing official malignancies. was based clinical experience published studies, but it largely empirical because limited available data. Dissemination implementation a standard stage across world 2017 have provided more...
Abstract Motivation ChIP-seq experiments that are aimed at detecting DNA-protein interactions require biological replication to draw inferential conclusions, however there is no current consensus on how analyze data with replicates. Very few methodologies exist for the joint analysis of replicated data, approaches ranging from combining results analyzing replicates individually modeling all Combining individual analyzed separately can lead reduced peak classification performance compared...
Abstract Background Microbiome studies have uncovered associations between microbes and human, animal, plant health outcomes. This has led to an interest in developing microbial interventions for treatment of disease optimization crop yields which requires identification microbiome features that impact the outcome population interest. That task is challenging because high dimensionality data confounding results from complex dynamic interactions among host, environment, microbiome. In...
Partially recorded data are frequently encountered in many applications and usually clustered by first removing incomplete cases or features with missing values, imputing followed application of a clustering algorithm to the resulting altered dataset. Here, we develop methodology through model-based approach using marginal density for observed assuming finite mixture model multivariate $t$ distributions. We compare our approximate corresponding full expectation-maximization (EM) that...
<h3>Background</h3> Circulating tumor DNA (ctDNA) holds promise as an early endpoint in oncology drug development, particularly advanced non-small cell lung cancer (aNSCLC) treated with immunotherapy. Friends of Cancer Research established the ctMoniTR Project to aggregate and analyze patient-level data from clinical trials generate evidence that characterizes association between change ctDNA levels on-treatment associations overall survival (OS). Using well characterized 4 randomized...
Abstract Development of cereal crops with high nitrogen-use efficiency (NUE) is a priority for worldwide agriculture. In addition to conventional plant breeding and genetic engineering, the use microbiome offers another approach improve crop NUE. To gain insight into bacterial communities associated sorghum lines that differ in NUE, field experiment was designed comparing 24 diverse under sufficient deficient nitrogen (N). Amplicon sequencing untargeted gas chromatography-mass spectrometry...
3030 Background: To determine whether changes in circulating tumor DNA (ctDNA) levels reflect treatment outcome, Friends of Cancer Research created the ctDNA to Monitor Treatment Response (ctMoniTR) Project with collaborators from industry, government, academia, and advocacy. A prior ctMoniTR effort analyzing 5 clinical trials (CT) showed an association between decreases improved outcomes patients advanced non-small cell lung cancer (aNSCLC) treated anti-PD-(L)1. The current study expands...
Abstract Background Microbiome studies have uncovered associations between microbes and human, animal, plant health outcomes. This has led to an interest in developing microbial interventions for treatment of disease optimization crop yields which requires identification microbiome features that impact the outcome population interest. That task is challenging because high dimensionality data confounding results from complex dynamic interactions among host, environment, microbiome. In...