Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Applied Statistics (1)
- Bioinformatics (1)
- Biometry (1)
- Biostatistics (1)
- Computational Biology (1)
-
- Ecology and Evolutionary Biology (1)
- Environmental Public Health (1)
- Epidemiology (1)
- Genetics (1)
- Genomics (1)
- Infectious Disease (1)
- Longitudinal Data Analysis and Time Series (1)
- Medical Biomathematics and Biometrics (1)
- Medical Sciences (1)
- Medical Specialties (1)
- Microarrays (1)
- Microbiology (1)
- Multivariate Analysis (1)
- Physical Sciences and Mathematics (1)
- Public Health (1)
- Statistical Methodology (1)
- Statistical Models (1)
- Statistics and Probability (1)
- Institution
- Publication
- Publication Type
Articles 1 - 2 of 2
Full-Text Articles in Genetics and Genomics
Two Boundaries Separate Borrelia Burgdorferi Populations In North America, Gabriele Margos, Jean I. Tsao, Santiago Castillo-Ramirez, Yvette A. Girard, Anne G. Hoen
Two Boundaries Separate Borrelia Burgdorferi Populations In North America, Gabriele Margos, Jean I. Tsao, Santiago Castillo-Ramirez, Yvette A. Girard, Anne G. Hoen
Dartmouth Scholarship
Understanding the spread of infectious diseases is crucial for implementing effective control measures. For this, it is important to obtain information on the contemporary population structure of a disease agent and to infer the evolutionary processes that may have shaped it. Here, we investigate on a continental scale the population structure of Borrelia burgdorferi, the causative agent of Lyme borreliosis (LB), a tick-borne disease, in North America. We test the hypothesis that the observed d population structure is congruent with recent population expansions and that these were preceded by bottlenecks mostly likely caused by the near extirpation in the 1900s …
Statistical Methods For Proteomic Biomarker Discovery Based On Feature Extraction Or Functional Modeling Approaches, Jeffrey S. Morris
Statistical Methods For Proteomic Biomarker Discovery Based On Feature Extraction Or Functional Modeling Approaches, Jeffrey S. Morris
Jeffrey S. Morris
In recent years, developments in molecular biotechnology have led to the increased promise of detecting and validating biomarkers, or molecular markers that relate to various biological or medical outcomes. Proteomics, the direct study of proteins in biological samples, plays an important role in the biomarker discovery process. These technologies produce complex, high dimensional functional and image data that present many analytical challenges that must be addressed properly for effective comparative proteomics studies that can yield potential biomarkers. Specific challenges include experimental design, preprocessing, feature extraction, and statistical analysis accounting for the inherent multiple testing issues. This paper reviews various computational …