MODELLING METHOD USING A CONDITIONAL VARIATIONAL AUTOENCODER

The present invention relates to a computer-implemented method for modelling genomic data represented in an unsupervised neural network, trVAE, comprising a conditional variational autoencoder, CVAE, with an encoder (f) and a decoder (g).

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Bibliographic Details
Main Authors Lotfollahi, Mohammad, Theis, Fabian, Wolf, Fabian Alexander
Format Patent
LanguageEnglish
Published 01.12.2022
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
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Abstract The present invention relates to a computer-implemented method for modelling genomic data represented in an unsupervised neural network, trVAE, comprising a conditional variational autoencoder, CVAE, with an encoder (f) and a decoder (g).
AbstractList The present invention relates to a computer-implemented method for modelling genomic data represented in an unsupervised neural network, trVAE, comprising a conditional variational autoencoder, CVAE, with an encoder (f) and a decoder (g).
Author Wolf, Fabian Alexander
Theis, Fabian
Lotfollahi, Mohammad
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RelatedCompanies Helmholtz Zentrum Muenchen - Deutsches Forschungszentrum Fuer Gesundhelt Und Umwelt (GmbH)
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Snippet The present invention relates to a computer-implemented method for modelling genomic data represented in an unsupervised neural network, trVAE, comprising a...
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SubjectTerms CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
Title MODELLING METHOD USING A CONDITIONAL VARIATIONAL AUTOENCODER
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