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Skip to Search Results- 17Graduate and Postdoctoral Studies (GPS), Faculty of
- 17Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 5Computing Science, Department of
- 5Computing Science, Department of/Technical Reports (Computing Science)
- 3Agricultural, Food and Nutritional Science, Department of
- 3Agricultural, Food and Nutritional Science, Department of/Journal Articles (Agricultural, Food and Nutritional Science)
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2011
Goebel, Randy, Wang, Lusheng, Lin, Guohui, Li, Zhong
Technical report TR11-02. Given two genomic maps G1 and G2 each represented as a sequence of n gene markers, the maximal strip recovery (MSR) problem is to retain the maximum number of markers in both G1 and G2 such that the resultant subsequences, denoted as G1* and G2*, can be partitioned into...
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Fall 2012
In this dissertation, I discuss several important problems in the area of bio-relation discovery (BRD). Discovering bio-relations is an important problem that arises frequently in bioinformatics. It involves identifying relationships (usually pairwise) between bio-entities. These relationships...
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2017-01-06
Bording-Jorgensen, M. , O'keefe, S. , Mason, A., Warren, K., Patterson J., Jovel, J., Wong, G., Wang, W.
Multiple sclerosis (MS) is a common cause of non-traumatic neurologic disability with high incidence in many developed countries. Although the etiology of the disease remains elusive, it is thought to entail genetic and environmental causes, and microbial pathogens have also been envisioned as...
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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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Detecting, correcting, and preventing the batch effects in multi-site data, with a focus on gene expression Microarrays
DownloadSpring 2014
Gene expression microarrays are widely used to better understand the complex biological mechanisms inside cells. One of the main obstacles of applying statistical learning algorithms to microarray data is the large gap between the number of features (p) and the number of available instances (n),...
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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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eHealth and mHealth Pipelines for Clinical Decision Support to Improve Medication Selection and Safety
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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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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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2003
Greiner, Russ, Poulin, B., Lu, Paul, Anvik, J., Lu, Z., Macdonell, Cam, Wishart, David, Eisner, Roman, Szafron, Duane
Technical report TR03-09. Naive Bayes classifiers, a popular tool for predicting the labels of query instances, are typically learned from a training set. However, since many training sets contain noisy data, a classifier user may be reluctant to blindly trust a predicted label. We present a...