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pro vyhledávání: '"Hengshi Yu"'
Autor:
Hengshi Yu, Joshua D. Welch
Small molecule treatment and gene knockout or overexpression induce complex changes in the molecular states of cells, and the space of possible perturbations is too large to measure exhaustively. We present PerturbNet, a deep generative model for pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a36cda9715afda6dbb0f8eb0f44aca10
https://doi.org/10.1101/2022.07.20.500854
https://doi.org/10.1101/2022.07.20.500854
Sampling from Disentangled Representations of Single-Cell Data Using Generative Adversarial Networks
Autor:
Hengshi Yu, Joshua D. Welch
Deep generative models, including variational autoencoders (VAEs) and generative adversarial networks (GANs), have achieved remarkable successes in generating and manipulating highdimensional images. VAEs excel at learning disentangled image represen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7849b741c6841187f93e7dd3a61e086
https://doi.org/10.1101/2021.01.15.426872
https://doi.org/10.1101/2021.01.15.426872