Variational Autoencoders for Cancer Data Integration: Design Principles and Computational Practice-Reference-Cited by-同舟云学术

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Variational Autoencoders for Cancer Data Integration: Design Principles and Computational Practice

Published:2019-12-11 Issue: Volume:10 Page:
ISSN:1664-8021
Container-title:Frontiers in Genetics
language:
Short-container-title:Front. Genet.

Author:

Simidjievski Nikola,Bodnar Cristian,Tariq Ifrah,Scherer Paul,Andres Terre Helena,Shams Zohreh,Jamnik Mateja,Liò Pietro

Publisher

Frontiers Media SA

Subject

Genetics (clinical),Genetics,Molecular Medicine

Reference59 articles.

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4. Representation learning: a review and new perspectives;Bengio;IEEE Trans. Pattern Anal. Mach. Intell.,2013

5. Signatures of mutation and selection in the cancer genome;Bignell;Nature,2010

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