A meta-learning approach for genomic survival analysis

Autor: Yeping Lina Qiu, Hong Zheng, Arnout Devos, Heather Selby, Olivier Gevaert
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
Druh dokumentu: article
ISSN: 2041-1723
24109894
DOI: 10.1038/s41467-020-20167-3
Popis: 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.
Databáze: Directory of Open Access Journals