Alternate identifier:
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(Has Part) 10.48606/16 - DOI
(Has Part) 10.48606/18 - DOI
(Has Part) 10.48606/20 - DOI
(Has Part) 10.48606/21 - DOI
(Has Part) 10.48606/22 - DOI
(Has Part) 10.48606/23 - DOI
(Has Part) 10.48606/25 - DOI
(Has Part) 10.48606/26 - DOI
(Has Part) 10.48606/27 - DOI
(Has Part) 10.48606/28 - DOI
(Has Part) 10.48606/29 - DOI
(Has Part) 10.48606/30 - DOI
(Has Part) 10.48606/31 - DOI
(Has Part) 10.48606/32 - DOI
(Has Part) 10.48606/33 - DOI
(Has Part) 10.48606/34 - DOI
(Has Part) 10.48606/35 - DOI
(Has Part) 10.48606/37 - DOI
(Has Part) 10.48606/38 - DOI
(Has Part) 10.48606/41 - DOI
(Has Part) 10.48606/53 - DOI
(Has Part) 10.48606/55 - DOI
Creator/Author:
Capek, Daniel https://orcid.org/0000-0001-5199-9940 [University of Konstanz]

Kurzbach, Anica https://orcid.org/0000-0003-1531-3088 [Universität Konstanz]

Safroshkin, Matvey https://orcid.org/0000-0003-3955-5081 [Computer Vision Studio Tübingen]

Morales-Navarrete, Hernan https://orcid.org/0000-0002-9578-2556 [Universität Konstanz]

Arutyunov, Grigory https://orcid.org/0000-0002-4372-9155 [Computer Vision Studio Tübingen]

Toulany, Nikan https://orcid.org/0000-0003-3505-7325 [Universität Konstanz]
Contributors:
(Other)
Bihler, Johanna [Friedrich-Miescher-Labor der Max-Planck-Gesellschaft]

(Other)
Jordan, Ben [Sense AI, Minneapolis]

(Other)
Hagauer, Julia [Friedrich-Miescher-Labor der Max-Planck-Gesellschaft]

(Other)
Kick, Sebastian [Friedrich-Miescher-Labor der Max-Planck-Gesellschaft]

(Other)
Jones, Felicity https://orcid.org/0000-0002-5027-1031 [Friedrich-Miescher-Labor der Max-Planck-Gesellschaft]

(Other)
Müller, Patrick https://orcid.org/0000-0002-0702-6209 [Universität Konstanz]
Title:
Datasets for "EmbryoNet: Using deep learning to link embryonic phenotypes to signaling pathways"
Additional titles:
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Description:
(Abstract) This is the data repository of the training and test data sets for EmbryoNet. The data is structured in multiple packages. EmbryoNet_Models (DOI 10.48606/31) contains the trained neural networks, the other packages are imaging data. All data are brightfield timelapse images of one or multiple embryo...
Keywords:
machine learning, phenotypes, cell signaling, development, phenomic screen, high-throughput, zebrafish, medaka, stickleback
Related information:
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Language:
-
Publishers:
Universität Konstanz
Production year:
Subject areas:
Biology
Resource type:
(Dataset) Overview of the EmbryoNet datapackages
Data source:
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Software used:
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Data processing:
-
Publication year:
Rights holders:
Müller, Patrick
Funding:
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Name Storage Metadata Upload Action
Status:
Published
Uploaded by:
39cb8a70dcf9f41e7cacc31b8f092a7f
Created on:
Archiving date:
2022-09-26
Archive size:
25.1 kB
Archive creator:
a73b8c277d10e12cb86f91edde66677a
Archive checksum:
fff0c700c8d24248b739e0620393f34f (MD5)
Embargo period:
-