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Biomedical Engineering and Bioengineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Physical Sciences and Mathematics

Cancer

2017

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Full-Text Articles in Biomedical Engineering and Bioengineering

Utilizing Tumor Exome Variation To Predict Cancer Treatment Outcomes, Michael Rendleman Jan 2017

Utilizing Tumor Exome Variation To Predict Cancer Treatment Outcomes, Michael Rendleman

Honors Theses at the University of Iowa

Cancer genomics, in the context of informing clinical decisions with tumor genotype, is a field characterized by high-dimensional data. Computational approaches for evaluating sets of features to be utilized in machine learning methods are essential for yielding accurate predictive and prognostic models. Additionally, the publicly-available results of the Broad Institute’s Firehose cancer genomics analysis pipeline presents a wealth of information that may be useful for cancer genotyping. Power analysis and classifier comparison are performed with the goal of evaluating a gene-based mutation significance feature set (MutSig) from Firehose. They reveal that while the MutSig features likely contain some prognostic ...