BioinformaticsbioRxivPreprint
Deep Genomic Signature for early metastasis prediction in prostate cancer
Hossein Sharifi-Noghabi, Yang Liu, Nicholas Erho…·Martin Ester
This study introduces DGS, a method combining denoising autoencoders and transfer learning to predict prostate cancer metastasis using both labelled and unlabelled gene expression data, achieving higher accuracy than existing signatures.
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