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Cox-nnet: an artificial neural network method for prognosis prediction on high-throughput omics data
Travers Ching, Xun Zhu, Lana X. Garmire
doi: https://doi.org/10.1101/093021
Travers Ching
*Molecular Biosciences and Bioengineering Graduate Program, University of Hawaii at Manoa, Honolulu, HI 96822, USA
†Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
Xun Zhu
*Molecular Biosciences and Bioengineering Graduate Program, University of Hawaii at Manoa, Honolulu, HI 96822, USA
†Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
Lana X. Garmire
*Molecular Biosciences and Bioengineering Graduate Program, University of Hawaii at Manoa, Honolulu, HI 96822, USA
†Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
Article usage
Posted December 11, 2016.
Cox-nnet: an artificial neural network method for prognosis prediction on high-throughput omics data
Travers Ching, Xun Zhu, Lana X. Garmire
bioRxiv 093021; doi: https://doi.org/10.1101/093021
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