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Full-Text Articles in Life Sciences
From Gene Expression To Physiology: A Study Of Chronic Thermal Tolerance In The Mytilus Edulis Species Complex, Lindsey Cate Schwartz
From Gene Expression To Physiology: A Study Of Chronic Thermal Tolerance In The Mytilus Edulis Species Complex, Lindsey Cate Schwartz
Theses and Dissertations
Rising ocean temperatures are a severe and ever-present threat to marine life. With environmental temperature having such a large impact on organismal performance, understanding the mechanisms which contribute to the ability to survive at higher temperatures is a crucial research focus. Significant progress has been made in discovering these mechanisms on the cellular, biochemical, and physiological levels, but is it much less common for those to be examined together. Using the Mytilus edulisspecies complex as a model system, this dissertation takes a closer look at how prolonged exposure to sub-lethal high temperatures impacts marine organisms on multiple levels of …
Interspecific Gene Flow Potentiates Adaptive Evolution In A Hybrid Zone Formed Between Pinus Strobiformis And Pinus Flexilis, Mitra Menon
Theses and Dissertations
Species range margins are often characterised by high degrees of habitat fragmentation resulting in low genetic diversity and higher gene flow from populations at the core of the species range. Interspecific gene flow from a closely related species with abutting range margins can increase standing genetic diversity and generate novel allelic combinations thereby alleviating limits to adaptive evolution in range margin populations. Hybridization driven interspecific gene flow has played a key role in the demographic history of several conifer due to their life history characteristics such as weak crossability barriers and long generation times. Nevertheless, demonstrating whether introgression is adaptive …
Adversarial Deep Neural Networks Effectively Remove Nonlinear Batch Effects From Gene-Expression Data, Jonathan Bryan Dayton
Adversarial Deep Neural Networks Effectively Remove Nonlinear Batch Effects From Gene-Expression Data, Jonathan Bryan Dayton
Theses and Dissertations
Gene-expression profiling enables researchers to quantify transcription levels in cells, thus providing insight into functional mechanisms of diseases and other biological processes. However, because of the high dimensionality of these data and the sensitivity of measuring equipment, expression data often contains unwanted confounding effects that can skew analysis. For example, collecting data in multiple runs causes nontrivial differences in the data (known as batch effects), known covariates that are not of interest to the study may have strong effects, and there may be large systemic effects when integrating multiple expression datasets. Additionally, many of these confounding effects represent higher-order interactions …