Molecular Generation for Desired Transcriptome Changes With Adversarial Autoencoders
نویسندگان
چکیده
منابع مشابه
Adversarial Autoencoders
In this paper, we propose the “adversarial autoencoder” (AAE), which is a probabilistic autoencoder that uses the recently proposed generative adversarial networks (GAN) to perform variational inference by matching the aggregated posterior of the hidden code vector of the autoencoder with an arbitrary prior distribution. Matching the aggregated posterior to the prior ensures that generating fro...
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ژورنال
عنوان ژورنال: Frontiers in Pharmacology
سال: 2020
ISSN: 1663-9812
DOI: 10.3389/fphar.2020.00269