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200331n^^^^^^^^xx^^^^^^s^^^^^^^^^^^eng^d |
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|a Case-based Reasoning for the Analysis of Methylation Data in Oncology |h [electronic resource]. |
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|a Christopher Bartlett, Guanghui Liu, Isabelle Bichindaritz
Abstract: One biomarker, DNA methylation, has recently become more prevalent in genetic research studies in oncology for its ability to differentiate cancer subtypes. We seek to apply these findings in a study of the diagnostic accuracy of DNA methylation signatures for classifying metastatic cancer tissue. High classification performance measures were obtained from differentially methylated positions, regions and selected gene signatures. Perfect accuracy was achieved with the top 5 feature-selected genes. This work contributes to the path toward the identification of biological signatures for oncology samples using case-based reasoning. |
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|a Electronic reproduction. |c SUNY Oswego Institutional Repository, |d 2020. |f (Oswego Digital Library) |n Mode of access: World Wide Web. |n System requirements: Internet connectivity; Web browser software. |
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|a SUNY Oswego Institution. |
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|a Collected for SUNY Oswego Institutional Repository by the online self-submittal tool. Submitted by Isabelle Bichindaritz. |
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|a Isabelle Bichindaritz. |
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|a Oswego Digital Library. |
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|a SUNY Oswego Scholarly and Creative Works. |
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|u https://digitallibrary.oswego.edu/SUOS000852/00001 |y Electronic Resource |
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|a https:/digitallibrary.oswego.edu/content/SU/OS/00/08/52/00001/CBR for Oncology Posterthm.jpg |