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Articles 1 - 4 of 4
Full-Text Articles in Life Sciences
A Parallelized Implementation Of Cut-And-Solve And A Streamlined Mixed-Integer Linear Programming Model For Finding Genetic Patterns Optimally Associated With Complex Diseases, Michael Yip-Hin Chan
A Parallelized Implementation Of Cut-And-Solve And A Streamlined Mixed-Integer Linear Programming Model For Finding Genetic Patterns Optimally Associated With Complex Diseases, Michael Yip-Hin Chan
Theses
With the advent of genetic sequencing, there was much hope of finding the inherited elements underlying complex diseases, such as late-onset Alzheimer’s disease (AD), but it has been a challenge to fully uncover the necessary information hidden in the data. A likely contributor to this failure is the fact that the pathogenesis of most complex diseases does not involve single markers working alone, but patterns of genetic markers interacting additively or epistatically. But as we move upwards beyond patterns of size two, it quickly becomes computationally infeasible to examine all combinations in the solution space. A common solution to solving …
Transcriptomics Of Learning, Pablo Iturralde
Transcriptomics Of Learning, Pablo Iturralde
Theses
Learning is a basic and important component of behavior yet we have very little empirical information about the interaction between mechanisms of learning and evolution. In our work, we are testing hypotheses about the neurogenetic mechanisms through which animal learning abilities evolve. We are able to test this directly by using experimentally evolved populations of flies, which differ in learning ability. These populations were previously evolved within the lab by creating worlds with different patterns of change following theoretically predicted effects on which enhanced learning will evolve. How has evolution acted to modulate genes and gene expression in the brain …
Investigation Of The Role Of Gene Clusters In Terpene Biosynthesis In Sorghum Bicolor, Rebecca Hay
Investigation Of The Role Of Gene Clusters In Terpene Biosynthesis In Sorghum Bicolor, Rebecca Hay
Theses
The staple crop Sorghum bicolor shows potential as a source of secondary metabolite-based biofuels due to its diverse phenotype and chemical profile. S. bicolor produces a variety of high-energy metabolites, including terpenes which are a potential renewable source of fuel additives. Information on the biosynthetic and genetic pathways by which S. bicolor terpenes are produced is limited and these pathways must be better understood before they can be engineered for human applications. Recent work on plant biosynthetic pathways has shown that terpenes can be modified by the products of clustered genes. Identification of biosynthetic gene clusters may accelerate the elucidation …
Efficient Reduced Bias Genetic Algorithm For Generic Community Detection Objectives, Aditya Karnam Gururaj Rao
Efficient Reduced Bias Genetic Algorithm For Generic Community Detection Objectives, Aditya Karnam Gururaj Rao
Theses
The problem of community structure identification has been an extensively investigated area for biology, physics, social sciences, and computer science in recent years for studying the properties of networks representing complex relationships. Most traditional methods, such as K-means and hierarchical clustering, are based on the assumption that communities have spherical configurations. Lately, Genetic Algorithms (GA) are being utilized for efficient community detection without imposing sphericity. GAs are machine learning methods which mimic natural selection and scale with the complexity of the network. However, traditional GA approaches employ a representation method that dramatically increases the solution space to be searched by …