Predicting Cancer Prognosis Using Functional Genomics Data Sets
Open Access
- 1 January 2014
- journal article
- review article
- Published by SAGE Publications in Cancer Informatics
- Vol. 13s5, CIN.S14064-88
- https://doi.org/10.4137/cin.s14064
Abstract
Elucidating the molecular basis of human cancers is an extremely complex and challenging task. A wide variety of computational tools and experimental techniques have been used to address different aspects of this characterization. One major hurdle faced by both clinicians and researchers has been to pinpoint the mechanistic basis underlying a wide range of prognostic outcomes for the same type of cancer. Here, we provide an overview of various computational methods that have leveraged different functional genomics data sets to identify molecular signatures that can be used to predict prognostic outcome for various human cancers. Furthermore, we outline challenges that remain and future directions that may be explored to address them.Keywords
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