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Generative adversarial networks accurately reconstruct pan-cancer histology from pathologic, genomic, and radiographic latent features.
Howard FM, Hieromnimon HM, Ramesh S, Dolezal J, Kochanny S, Zhang Q, Feiger B, Peterson J, Fan C, Perou CM, Vickery J, Sullivan M, Cole K, Khramtsova G, Pearson AT. Howard FM, et al. Among authors: feiger b. Sci Adv. 2024 Nov 15;10(46):eadq0856. doi: 10.1126/sciadv.adq0856. Epub 2024 Nov 15. Sci Adv. 2024. PMID: 39546597 Free PMC article.
Generative Adversarial Networks Accurately Reconstruct Pan-Cancer Histology from Pathologic, Genomic, and Radiographic Latent Features.
Howard FM, Hieromnimon HM, Ramesh S, Dolezal J, Kochanny S, Zhang Q, Feiger B, Peterson J, Fan C, Perou CM, Vickery J, Sullivan M, Cole K, Khramtsova G, Pearson AT. Howard FM, et al. Among authors: feiger b. bioRxiv [Preprint]. 2024 Mar 25:2024.03.22.586306. doi: 10.1101/2024.03.22.586306. bioRxiv. 2024. Update in: Sci Adv. 2024 Nov 15;10(46):eadq0856. doi: 10.1126/sciadv.adq0856 PMID: 38585926 Free PMC article. Updated. Preprint.