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Some of the material in is restricted to members of the community. By logging in, you may be able to gain additional access to certain collections or items. If you have questions about access or logging in, please use the form on the Contact Page.
It is clear that the genetic networks that control the shape and patterning of important phenotypic traits are much more important to trait evolution than was previously thought. This study addresses the ability of the Drosophila...
Mortality in humans is primarily due to diseases with complex causes such as heart disease, cancer, and diabetes. Finding the genetic underpinnings of such diseases could lead to advances in medicine. Reviewing studies that try to locate...
Genetic variation is a dominant feature in the study of evolution. The presence of variation is embedded at every level, from a single individual all the way to different species. Understanding the mechanisms that allow variation to be...
Many phenomena in ecology, evolution, and organismal biology relate to how a system changes through time. Unfortunately, most of the statistical methods that are common in these fields represent samples as static scalars or vectors....
Many genetic patterns observed within and between species are often attributed to processes that affect interpopulation genetic exchange. These patterns are often taken as evidence of the genetic processes without explicit tests of the...
The mandible can provide valuable information on both the life history and genetic makeup of Archaic human populations. If two genetically separated Homo sapiens populations practice differing dietary behaviors, one may expect to see...
Many marine species are typified by a pelagic stage during which tiny larvae develop in the open ocean, where they are subject to high mortality and transport via ocean currents. For organisms with this life history, the study of their...
Behavioral interactions among individuals can have complex effects on trait evolution. In this study I quantify the strength of correlation between aggressive and advertisement calls in the chorus frog, Pseudacris feriarum, to assess...
The tools and techniques used in shape analysis have constantly evolved, but their objective remains fixed: to quantify the differences in shape between two objects in a consistent and meaningful manner. The hand-measurements of calipers...
Biologists have long been interested in the diversity of organisms on earth. With their joint presentation to the Linnean Society of London in 1858, Darwin and Wallace proposed natural selection as a clear mechanism to explain the...
Machine learning algorithms along with magnetic resonance imaging (MRI) provides promising techniques to overcome the drawbacks of the current clinical screening techniques. In this study the resting-state functional magnetic resonance...
With more influenza A virus sequence data available than before, researchers have paid more attention to how to utilize these data to predict the influenza A virus evolution trend. There are diverse opinions on that. Some researchers...
High throughput sequencing data are rich in information and contain many off-target sequences (reads) that are often ignored but may be biologically relevant. Seed extension, a combination of reference and de novo based assembly methods, ...
Dissertation focuses on exploring the capabilities of the SRSF statistical shape analysis framework through various applications. Each application gives rise to a specific mathematical shape analysis model. The theoretical investigation...
The role of larval dispersal in ecology and evolution is still largely undescribed in many marine organisms. Larval recruitment has long been viewed as being dominated by unpredictable, highly variable processes but also as a significant...
Mutation is the origin of biological variation but how that variation is expressed and selected depends on the mapping from genetic variation to phenotypic variation, the effect on fitness, and selection. Until recently, there was little...
Groundwater systems are open and complex, rendering them prone to multiple conceptual interpretations and mathematical descriptions. When multiple models are acceptable based on available knowledge and data, model uncertainty arises. One...
Long-chain branching affects the rheological properties of the polyethylenes strongly. Branching structure - density of branch points, branch length, and the locations of the branches - is complicated, therefore, without controlled...
The genetic mechanisms that regulate transformation of genetic material from genotype tophenotype influence evolutionary response to environmental change and promote species diversity. Identifying molecular regulatory mechanisms that...
Quantitative genetics is a powerful tool for predicting phenotypic evolution on a microevolutionary scale. This predictive power primarily comes from the Lande equation (Δz̅=Gβ), a multivariate expansion of the breeder's equation, where...
One of the central goals of evolutionary biology is to understand the evolutionary relationships among organisms by constructing phylogenetic estimates, commonly known as evolutionary trees. The accuracy of phylogenetic estimates can be...
An accumulation of experimental evidence over the past two decades has tightened the relationship between thermodynamics and the emergence of structure in driven natural systems. A plausible explanation for how structure emerges has...
This work implements inverse methods in various polymer characterization problems. In the first topic, a new approach is proposed to infer the comonomer content using Crystaf method considering and quantifying the associated uncertainty....
This dissertation studies a graphical processing unit (GPU) construction of Bayesian neural networks (BNNs) using large training data sets. The goal is to create a program for the mapping of phenomenological Minimal Supersymmetric...
While theory shows that the distribution of populations in space can have profound ecological and evolutionary consequences, the complexity of numerical and genetical dynamics in space has made evaluation of model assumptions and...
Statistical analysis methods are used by neuroscience researchers to obtain meaningful information from functional magnetic resonance imaging data to learn more about mind and brain. Machine learning, more specifically pattern...
The identification of forensic cases often includes the use of skeletal elements to assess the age-at-death of an individual. The pubic symphysis is the preferred and most often used skeletal age indicator. Standard techniques, such as...
This is a dissertation on protein evolution and the probabilistic models used to study it. The interaction of data and model during statistical phylogenetic inference is explored, and the biological realism of simple amino acid models is...
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