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URL: https://github.com/JCVenterInstitute/NSForest/releases
Proper Citation: NS-Forest (RRID:SCR_018348)
Description: Software tool as method that takes cluster results from single cell nuclei RNAseq experiments and generates lists of minimal markers needed to define each cell type cluster. Utilizes random forest of decision trees machine learning approach. Used to determine minimum set of marker genes whose combined expression identified cells of given type with maximum classification accuracy.
Synonyms: Necessary and Sufficient Forest, NS-Forestversion 1.3, NS-Forest v2.0, NS-Forest version 1.0
Resource Type: data processing software, software application, software resource
Defining Citation: PMID:29590361
Keywords: Single cell, RNAseq experiment, generated gene list, minimum set, marker gene, define cell type cluster, random forest, decision tree, machine learning, identify cell, cell clasyfication
Funding: Allen Institute for Brain Science ; California Institute for Regenerative Medicine ; Chan Zuckerberg Initiative DAF ; JCVI Innovation Fund ; NIAID R21 AI122100; NIAID U19 AI118626; Wellcome Trust
Availability: Free, Available for download, Freely available
Resource Name: NS-Forest
Resource ID: SCR_018348
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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
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