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Articles 1 - 6 of 6
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Classifying Electrocardiogram With Machine Learning Techniques, Hillal Jarrar
Classifying Electrocardiogram With Machine Learning Techniques, Hillal Jarrar
Master's Theses
Classifying the electrocardiogram is of clinical importance because classification can be used to diagnose patients with cardiac arrhythmias. Many industries utilize machine learning techniques that consist of feature extraction methods followed by Naive- Bayesian classification in order to detect faults within machinery. Machine learning techniques that analyze vibrational machine data in a mechanical application may be used to analyze electrical data in a physiological application. Three of the most common feature extraction methods used to prepare machine vibration data for Naive-Bayesian classification are the Fourier transform, the Hilbert transform, and the Wavelet Packet transform. Each machine learning technique consists of …
Polycyclic Aromatic Hydrocarbons And The Microbiomes Of Two Benthic Species, Samantha Ells
Polycyclic Aromatic Hydrocarbons And The Microbiomes Of Two Benthic Species, Samantha Ells
Master's Theses
The presence of oil has been shown to affect the microbiomes of the water column, sediments, and organisms, both by altering the diversity and the composition of those microbial communities. If the microbiome is altered it may no longer provide benefits to its host organism, impacting its ability to survive. Thus, it is important to understand the effects of large-scale contamination events including the Deepwater Horizon oil spill. This study set out to examine the effects of oil exposure on the microbiome of two benthic species, southern flounder (Paralichthys lethostigma) and eastern oysters (Crassostrea virginica) to further understand the effects …
The Utilization And Optimization Of Omics Trait Prediction Models Within And Across Diverse Populations, Ashley Mulford
The Utilization And Optimization Of Omics Trait Prediction Models Within And Across Diverse Populations, Ashley Mulford
Master's Theses
Most cancer chemotherapeutic agents are ineffective in a subset of patients; thus, it is important to consider the role of genetic variation in drug response. Lymphoblastoid cell lines (LCLs) derived from 1000 Genomes Project populations of diverse ancestries are a useful model for determining how genetic factors impact variation in cytotoxicity. In our study, LCLs from three 1000 Genomes Project populations of diverse ancestries were previously treated with increasing concentrations of eight chemotherapeutic drugs and cell growth inhibition was measured at each dose with half-maximal inhibitory concentration (IC50) or area under the dose-response curve (AUC) as our phenotype for each …
Population-Matched Transcriptome Prediction Increases Discovery And Replication Rate In Twas, Elyse Geoffroy
Population-Matched Transcriptome Prediction Increases Discovery And Replication Rate In Twas, Elyse Geoffroy
Master's Theses
Most genome-wide and transcriptome-wide association studies (GWAS, TWAS) focus on European populations; however, these results cannot always be accurately applied to non-European populations due to differences in genetic architecture. Using summary statistics from GWAS in the Population Architecture using Genomics and Epidemiology (PAGE) study, which comprises ~50,000 Hispanic/Latinos, African Americans, Asians, Native Hawaiians, and Native Americans, we perform transcriptome-wide association studies to determine gene-trait associations. Initially, we compared results using two transcriptome prediction models derived from the Multi-Ethnic Study of Atherosclerosis (MESA) populations: the African American (AFA) model and the Hispanic/Latino (HIS) model. We identified 141 unique genome-wide significant trait-associated …
Pseudomonas Aeruginosa Prophages And Engineered Temperate Phages, Genevieve Johnson
Pseudomonas Aeruginosa Prophages And Engineered Temperate Phages, Genevieve Johnson
Master's Theses
The rising rate of antibiotic-resistant bacteria is a global health concern, and the Pseudomonas aeruginosa is estimated to be a leader in serious threats. Bacteriophages, or viruses that infect bacteria, have gained renewed interest in Western Medicine as an alternative to antibiotics. Phage therapy of P. aeruginosa infections has primarily focused on obligately lytic phages. However, prophages, or phages in the lysogenic life cycle, are estimated to far outnumber obligately lytic phages. In theory, these prophages can be genetically modified to be obligately lytic and thus ideal candidates for phage therapy. To date there has not been a comprehensive analysis …
Lactobacillus Metabolite-Mediated Induction Of Bacteriophage, Taylor Miller-Ensminger
Lactobacillus Metabolite-Mediated Induction Of Bacteriophage, Taylor Miller-Ensminger
Master's Theses
Once considered sterile in the absence of an infection, the female urinary tract is home to a diverse community (microbiota) of bacterial species and bacteriophage (phage), viruses that infect bacteria A dominant member of the female urinary microbiota is the bacterial genus Lactobacillus. Several Lactobacillus species are even associated with urinary health. Phage infectious of bacteria in the urinary tract tend to replicate through one of two life cycles: the lytic (active) life cycle or the lysogenic (dormant) life cycle. Temperate phage can switch from the lysogenic life cycle to the lytic life cycle in the presence of an environmental …