专利检索 ap:("Helmholtz Zentrum Muenchen - Deutsches Forschungszentrum Fuer Gesundhelt Und Umwelt (GmbH)") AND inv:"Fabian Theis" 第 1 页

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发明申请
MODELLING METHOD USING A CONDITIONAL VARIATIONAL AUTOENCODER 有权

公开(公告)号：US20220383985A1

公开(公告)日：2022-12-01

申请号：US17763501

申请日：2020-09-25

申请人： Helmholtz Zentrum Muenchen - Deutsches Forschungszentrum Fuer Gesundhelt Und Umwelt (GmbH)

发明人： Fabian Theis , Mohammad Lotfollahi , Fabian Alexander Wolf

IPC分类号： G16B40/30 , G06N3/08 , G16B25/10

摘要： 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).