eventscribe

The eventScribe Educational Program Planner system gives you access to information on sessions, special events, and the conference venue. Take a look at hotel maps to familiarize yourself with the venue, read biographies of our plenary speakers, and download handouts and resources for your sessions.

close this panel
‹‹ Go Back

Victor Song

University of North Texas



‹‹ Go Back

Please enter your access key

The asset you are trying to access is locked for premium users. Please enter your access key to unlock.


Email This Presentation:

From:

To:

Subject:

Body:

←Back IconGems-Print

75 – Statistical Genomics in Cancer

Detecting Circulating Tumor DNA Sequences

Sponsor: Section on Statistics in Genomics and Genetics
Keywords: Logit classifier, ROC curve, Likelihood Ratio Classifier, Negative binomial distribution

Victor Song

University of North Texas

The liquid biopsy procedure to screen for early-stage cancers and monitor treatment responses involves the detection of cancer biomarkers in bodily fluids such as blood and urine. Recent advances in liquid biopsy techniques have involved detecting the presence of tumor-derived cell-free DNA (circulating tumor DNA, ctDNA) in a simple blood test. This detection procedure is minimally invasive and provides an attractive and reliable alternative to tissue biopsy. One of the major challenges in ctDNA analysis lies in its relatively low concentration and the difficulty in detecting ctDNA from the background cell-free DNA fragments derived from normal cells (cfDNA). Despite some recent progress, accurate detection methods remain elusive. In this paper, I develop two types of probabilistic classifiers for distinguishing ctDNA from cfDNA. The performance of the proposed classifiers is evaluated and measured by the receiver operating characteristic (ROC) curve. Its accuracy is demonstrated by the area under the ROC curve. Both types of classifiers are easy to compute and fairly accurate with the potential to become relatively cheap and applicable tools for the early detection of cancers.

"eventScribe", the eventScribe logo, "CadmiumCD", and the CadmiumCD logo are trademarks of CadmiumCD LLC, and may not be copied, imitated or used, in whole or in part, without prior written permission from CadmiumCD. The appearance of these proceedings, customized graphics that are unique to these proceedings, and customized scripts are the service mark, trademark and/or trade dress of CadmiumCD and may not be copied, imitated or used, in whole or in part, without prior written notification. All other trademarks, slogans, company names or logos are the property of their respective owners. Reference to any products, services, processes or other information, by trade name, trademark, manufacturer, owner, or otherwise does not constitute or imply endorsement, sponsorship, or recommendation thereof by CadmiumCD.

As a user you may provide CadmiumCD with feedback. Any ideas or suggestions you provide through any feedback mechanisms on these proceedings may be used by CadmiumCD, at our sole discretion, including future modifications to the eventScribe product. You hereby grant to CadmiumCD and our assigns a perpetual, worldwide, fully transferable, sublicensable, irrevocable, royalty free license to use, reproduce, modify, create derivative works from, distribute, and display the feedback in any manner and for any purpose.

© 2017 CadmiumCD