Supplemental_Table_4.xlsx (13.31 kB)

Supplemental Table 4: Bidirectional deep neural networks to integrate RNA and DNA data for predicting outcome of hepatocellular carcinoma patients.xlsx

Name: Supplemental Table 4: Bidirectional deep neural networks to integrate RNA and DNA data for predicting outcome of hepatocellular carcinoma patients.xlsx
Published: 2021-08-10T11:16:41+00:00
License: https://creativecommons.org/licenses/by-nc-nd/4.0/
Keywords: BiDNNs, multimodal autoencoders, multi-omics integration, survival, methylation, personalized cancer management, individualized patient profiling, unsupervised machine learning, Gene Expression (incl. Microarray and other genome-wide approaches), Genomics, Quantitative Genetics (incl. Disease and Trait Mapping Genetics), Cancer Genetics, Solid Tumours

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posted on 2021-08-10, 11:16 authored by Guojun Huang, Wang Cheng, Fu Xi

Supplementary Table 4. Bidirectional deep neural networks to integrate RNA and DNA data for predicting outcome of hepatocellular carcinoma patients

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Supplemental Table 4: Bidirectional deep neural networks to integrate RNA and DNA data for predicting outcome of hepatocellular carcinoma patients.xlsx

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