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URL: http://research.ics.aalto.fi/ica/icasso/
Proper Citation: ICASSO (RRID:SCR_014981)
Description: Software implementing a method for assessing both the algorithmic and statistical reliability of estimated independent components developed by Himburg et al in their 2004 paper. The method is based on running the ICA algorithm many times with slightly different conditions and visualizing the clustering structure of the obtained components in the signal space. In experiments with magnetoencephalographic (MEG) and functional magnetic resonance imaging (fMRI) data, the method was able to show that expected components are reliable; furthermore, it pointed out components whose interpretation was not obvious but whose reliability should incite the experimenter to investigate the underlying technical or physical phenomena.
Synonyms: Icasso 1.2, Icasso
Resource Type: algorithm resource, data processing software, data visualization software, software application, software resource
Defining Citation: PMID:15219593
Keywords: independent component analysis, ica, ica estimate, visualization method, tight cluster
Funding: Academy of Finland ; Nokia Foundation
Availability: Available for download
Resource Name: ICASSO
Resource ID: SCR_014981
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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
Data set from Kravitz, Owen and Kretizer's 2012 paper "Optogenetic identification of striatal projection neuron subtypes during in vivo recordings."
