A meta-learning approach for genomic survival analysis

RNA-sequencing data from tumours can be used to predict the prognosis of patients. Here, the authors show that a neural network meta-learning approach can be useful for predicting prognosis from a small number of samples.

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Autores principales: Yeping Lina Qiu, Hong Zheng, Arnout Devos, Heather Selby, Olivier Gevaert
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/42bb85ba63e2410989419cfb8d38bbf2
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