Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies is a research paper published in PLoS Computational Biology (2024). On theSindex it has a DataRank of 0. It has been cited 9 times.
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National Institute of Environmental Health Sciences
Grant: ES030287
National Institute of Environmental Health Sciences
Grant: ES030007
National Institute of Environmental Health Sciences
Grant: ES025128
National Institute of Environmental Health Sciences
Grant: ES033243
National Cancer Institute
Grant: CA161608
the Intramural Research Program of the NIH
Grant: ZIAES103385
NCI NIH HHS
Grant: R01 CA161608
NIEHS NIH HHS
Grant: P30 ES030287
NIEHS NIH HHS
Grant: P30 ES025128
NIEHS NIH HHS
Grant: R56 ES030007
NIEHS NIH HHS
Grant: R01 ES033243
NIEHS NIH HHS
Grant: T32 ES007329
National Institutes of Health
Grant: 1R56ES030007-01A1
Gene-Environment Interactions Causing Differential Susceptibility to Chemical Exposure in High-Throughput Screening
National Institutes of Health
Grant: 1P30ES025128-01
Center for Human Health and the Environment
National Institutes of Health
Grant: 5R01CA161608-07
Genetic Etiology of Cancer Drug Response
National Institutes of Health
Grant: 1ZIAES103385-02
Scientific Cyberinfrastructure Research Program
National Institutes of Health
Grant: 1P30ES030287-01A1
Pacific Northwest Center for Translational Environmental Health Research
National Institutes of Health
Grant: 1R01ES033243-01A1
Characterizing Gene-Environment Interactions that Affect Individual Susceptibility to an Expanding Chemical Exposome
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