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CancerSiamese: one-shot learning for predicting primary and metastatic tumor types unseen during model training

BACKGROUND: The state-of-the-art deep learning based cancer type prediction can only predict cancer types whose samples are available during the training where the sample size is commonly large. In this paper, we consider how to utilize the existing training samples to predict cancer types unseen du...

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Bibliografski detalji
Izdano u:BMC Bioinformatics
Glavni autori: Mostavi, Milad, Chiu, Yu-Chiao, Chen, Yidong, Huang, Yufei
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2021
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC8117642/
https://ncbi.nlm.nih.gov/pubmed/33980137
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-04157-w
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