Abstract
Abstract Cancer diagnosis is problematic because the disease is often asymptomatic at early stages of progression and/or recurrence. We report here the integration of a mass spectrometric metabolic profiling procedure coupled with a support vector machine computational method for use in early cancer diagnostics, and describe successful application of the method to ovarian, pancreatic and prostate cancers. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 4784. doi:1538-7445.AM2012-4784
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
