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ME-VAE: Multi-Encoder Variational AutoEncoder for Control... | ResearchHub
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ME-VAE: Multi-Encoder Variational AutoEncoder for Controlling Multiple Transformational Features in Single Cell Image Analysis
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Authors
Luke Ternes
7 more
Luke Ternes
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Mark Dane
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•
Young Chang
Published
May 29, 2021
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Preprint Server
Topics
Biology
Bioinformatics
Computer Science
Mathematics
Artificial Intelligence
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DOI
10.1101/2021.04.22.441005
License
CC-BY-NC-ND
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Supporters
Support the authors with ResearchCoin
Tip RSC
Preprint Server
Topics
Biology
Bioinformatics
Computer Science
Mathematics
Artificial Intelligence
Show all topics
DOI
10.1101/2021.04.22.441005
License
CC-BY-NC-ND
Other Formats
PDF
