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Evaluating the utility of blood glycan levels as predictors of stage I adenocarcinoma using support vector machines.

Abstract Aberrant glycosylation has been shown to be linked to specific cancers, and using this idea, it was proposed that the levels of glycans in the blood could predict stage I adenocarcinoma. To track this glycosylation, glycan were broken down into glycan nodes via methylation analysis. This analysis utilized information from N-, O-, and lipid linked glycans detected from gas chromatography-mass spectrometry. The resulting glycan node-ratios represent the initial quantitative data that were used in this experiment.
For this experiment, two Sets of 50 µl blood plasma samples were provided by NYU Medical School. These samples were then analyzed by Dr. Borges’s lab so that they contained normalized biomarker levels from patients with stage 1 aden... (more)
Created Date 2016-05
Contributor De Jesus, Celine Spicer (Author) / Taylor, Thomas (Thesis Director) / Borges, Chad (Committee Member) / School of Mathematical and Statistical Sciences / School of Molecular Sciences / Barrett, The Honors College
Subject Adenocarcinoma / Glycans / ROC
Series Academic Year 2015-2016
Type Text
Extent 26 pages
Language English
Reuse Permissions All Rights Reserved
Collaborating Institutions Barrett, the Honors College
Additional Formats MODS / OAI Dublin Core / RIS

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