Anthony Deeter

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As context is important to gene expression, so is the preprocessing of microarray to transcriptomics. Microarray data suffers from several normalization and significance problems. Arbitrary fold change (FC) cut-offs of >2 and significance p-values of <0.02 lead data collection to look only at genes which vary wildly amongst other genes. Therefore, questions(More)
BACKGROUND A traditional lecture-based pedagogy conveys information and content while lacking sufficient development of critical thinking skills and problem solving. A puzzle-based pedagogy creates a broader contextual framework, and fosters critical thinking as well as logical reasoning skills that can then be used to improve a student's performance on(More)
The swine origin influenza A (S-OIV) virus of 2009 reached pandemic proportions due to its novel sequence identity in human populations of North America and other localities. The S-OIV virus shows subtle change from 2009-2010 in humans, affirming that the HA and NA sequences have been unable to antigenically drift or shift enough to emerge as another(More)
Utilizing Bayesian networks to infer the relationships among genes has proven useful in providing information about how gene interactions influence life. However, Bayesian network learning is inherently slow due to the nature of the algorithm. Search space reductions such as K2 help to speed up this process, but when the need for many Bayesian networks(More)
The PubMed database offers an extensive set of publication data that can be useful, yet inherently complex to use without automated computational techniques. Data repositories such as the Genomic Data Commons (GDC) and the Gene Expression Omnibus (GEO) offer experimental data storage and retrieval as well as curated gene expression profiles. Genetic(More)
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