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©The Author(s) 2022.
World J Clin Oncol. Jul 24, 2022; 13(7): 616-629
Published online Jul 24, 2022. doi: 10.5306/wjco.v13.i7.616
Published online Jul 24, 2022. doi: 10.5306/wjco.v13.i7.616
Figure 1 A schematic illustration for the study design.
Using an advanced unsupervised representation learning neural network, iCEMIGE realizes efficient and effective multi-modal biomarker mining and extraction, ensuring the optimal integration of reconstructable individual biomarkers.
- Citation: Mao XY, Perez-Losada J, Abad M, Rodríguez-González M, Rodríguez CA, Mao JH, Chang H. iCEMIGE: Integration of CEll-morphometrics, MIcrobiome, and GEne biomarker signatures for risk stratification in breast cancers. World J Clin Oncol 2022; 13(7): 616-629
- URL: https://www.wjgnet.com/2218-4333/full/v13/i7/616.htm
- DOI: https://dx.doi.org/10.5306/wjco.v13.i7.616