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Skip to Search Results- 9Bioinformatics
- 2Machine Learning
- 2Metabolomics
- 13 Tier Architecture
- 1AntiC
- 1Artificial Intelligence
- 1Bandi Kenari, Nahid
- 1Damavandi, Babak
- 1Jewison, Timothy
- 1Jing, Anqi
- 1Khan, Sheehan Veikko
- 1Liu, Yifeng
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Fall 2011
Metabolomics aims to study all small-molecule compounds (i.e. metabolites) in cells, tissues, or biofluids. These compounds provide a functional readout of the physiological, developmental, and pathological state of a biological system. The field of metabolomics has expanded rapidly over the last...
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Estimating the Overlap of Top Instances in Lists Ranked by Correlation to Label
Spring 2012
Recent advances in high-throughput technologies, such as genome-wide SNP analysis and microar- ray gene expression profiling, have led to a multitude of ranked lists, where the features (SNPs, genes) are sorted based on their individual correlation with a phenotype. Multiple reviews have shown...
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Spring 2014
Metabolomics involves the high throughput characterization of small molecules or metabolites in cells, tissues and organisms. To interpret, store and exchange metabolomic data it is necessary to have comprehensive, electronically accessible databases that can be used to handle both the...
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eHealth and mHealth Pipelines for Clinical Decision Support to Improve Medication Selection and Safety
DownloadFall 2015
Although much work has been done over the past decade on developing personalized and evidence-based medicine, such as diagnostic tests based on genetics to better predict patients' responses to therapy, stumbling blocks remain that have prevented knowledge, tests, and other pertinent...
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Fall 2015
Researchers conduct association studies to discover biomarkers in order to gain new biological insight on complex diseases and phenotypes. Although most researchers have intuitions about what defines a biomarker and how to assess the results of an association study, there is neither a formal...
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Fall 2016
The field of biomedicine is reeling from “information overload”. Indeed, biomedical researchers find it almost impossible to stay current with published literature due to the vast amounts of data being generated and published. As a result, they are turning to text mining. Over the past two...
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Inference of epigenetic subnetworks and expression-based analysis using a breast cancer dataset
DownloadFall 2018
Changes in gene expression have been thought to play a crucial role in various types of cancer. With the advance of high-throughput experimental techniques, many genome-wide studies are underway to analyze underlying mechanisms that may drive the changes in gene expression. It has been observed...
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Investigation of Causal Mutations in Livestock and Companion Animals Using Whole-Genome Sequencing (WGS) and Bioinformatics
DownloadSpring 2024
In this thesis project, three studies were conducted, aimed at identifying the causal variants responsible for phenotypic/genotypic sex discordance in cattle, copper toxicosis in Dalmatian dogs, and low fertility/infertility in cattle. In all three studies, whole-genome sequencing (WGS) and...