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URL: https://github.com/compbiolabucf/omicsGAN
Proper Citation: OmicsGAN (RRID:SCR_022976)
Description: Software generative adversarial network to integrate two omics data and their interaction network to generate one synthetic data corresponding to each omics profile that can result in better phenotype prediction. Used to capture information from interaction network as well as two omics datasets and fuse them to generate synthetic data with better predictive signals.
Synonyms: Omics Generative Adversarial Network
Resource Type: software application, software resource
Defining Citation: PMID:34415323
Keywords: integrate two omics data, interaction network, generate one synthetic data corresponding to each omics profile, phenotype prediction
Funding: NIDA DK097771; NIGMS R01GM113952; NSF III1755761
Availability: Free, Available for download, Freely available
Resource Name: OmicsGAN
Resource ID: SCR_022976
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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