Gene- and Pathway-Based Deep Neural Network for Multi-omics Data Integration to Predict Cancer Survival Outcomes
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Publisher
Springer International Publishing
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http://link.springer.com/content/pdf/10.1007/978-3-030-20242-2_10
Reference24 articles.
1. Aure, M.R., et al.: Individual and combined effects of DNA methylation and copy number alterations on miRNA expression in breast tumors. Genome Biol. 14(11), R126 (2013). https://doi.org/10.1186/gb-2013-14-11-r126
2. Bleeker, F.E., et al.: Mutational profiling of kinases in glioblastoma. BMC Cancer 14(1), 718 (2014). https://doi.org/10.1186/1471-2407-14-718
3. Bruder, C.E., et al.: Phenotypically concordant and discordant monozygotic twins display different DNA copy-number-variation profiles. Am. J. Hum. Genet. 82(3), 763–771 (2008). https://doi.org/10.1016/j.ajhg.2007.12.011
4. Catacuzzeno, L., Franciolini, F.: Role of KCa3.1 channels in modulating Ca $$^{2+}$$ oscillations during glioblastoma cell migration and invasion. Int. J. Mol. Sci. 19(10), 2970 (2018). https://doi.org/10.3390/ijms19102970
5. Chaudhary, K., Poirion, O.B., Lu, L., Garmire, L.X.: Deep learning-based multi-omics integration robustly predicts survival in liver cancer. Clin. Cancer Res. 24(6), 1248–1259 (2018). https://doi.org/10.1158/1078-0432.CCR-17-0853
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