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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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Библиографические подробности
Опубликовано в: :BMC Bioinformatics
Главные авторы: Mostavi, Milad, Chiu, Yu-Chiao, Chen, Yidong, Huang, Yufei
Формат: Artigo
Язык:Inglês
Опубликовано: BioMed Central 2021
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Online-ссылка: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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