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URL: https://github.com/FeeLab/seqNMF
Proper Citation: seqNMF (RRID:SCR_017068)
Description: Software tool for unsupervised discovery of sequential structure. Used to detect sequences in neural data generated by internal behaviors, such as animal thinking or sleeping. Used for unsupervised discovery of temporal sequences in high dimensional datasets in neuroscience without reference to external markers.
Resource Type: data analysis software, data processing software, software application, software resource
Defining Citation: PMID:30719973
Keywords: sequence, structure, high, dimention, dataset, neuroscience, repeated, sequential, pattern, data
Funding: Department of Energy ; Labor and Economic Growth Computational Science Graduate Fellowship ; G Harold and Leila Y. Mathers Foundation ; NIBIB T32 EB019940; NIDCD R01 DC009183; NIMH R25 MH062204; NINDS U19 NS10 4648; Simons Foundation Simons Collaboration for the Global Brain ; U.S. Department of Defense NDSEG Fellowship program
Availability: Free, Available for download, Freely available
Resource Name: seqNMF
Resource ID: SCR_017068
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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