{"Id":"4c9db82d-a361-44b2-aac2-12bf0591d810","CanonicalId":"RRID:SCR_017128","Url":"https://www.zurich.ibm.com/cellcycletracer/","Name":"CellCycleTRACER (algorithm for cell-cycle and cell-volume correction in mass cytometry data)","Description":"CellCycleTRACER is a supervised machine-learning algorithm that classifies and sorts single-cell mass cytometry data according to their cell cycle, which allows us to correct for cell-cycle-state and cell-volume heterogeneity. (Also see CellCycleTRACER in Assays). It is downloadable and also implemented as a simple and intuitive graphical user interface and can be applied to any mass cytometry dataset.","ResourceType":"CodePipelineTechnology","ParentResourceType":"Technology","DefiningManuscriptId":"PMID29434325","Publications":[],"Contributors":[{"Role":{"CanonicalId":"hirn-cv-ResourceRole-producer","Url":"resources.hirnetwork.org/api/v1/CV/","Name":"Producer","OntologyId":"HIRN"},"HirnUserId":"bernd_bodenmiller@hirnetwork.org","FirstName":"Bernd","LastName":"Bodenmiller","EmailAddress":"bernd.bodenmiller@imls.uzh.ch","Organization":"University of Zurich","Consortia":["CBDS"]}],"Vendor":{"id":null,"Name":null,"Url":null},"VendorResourceName":null,"VendorResourceUrl":null,"VendorCatNumber":null,"VendorLotNumber":null,"DateCreated":"2019-04-26T01:22:19.5718812+00:00","DateModified":"2022-07-01T03:35:15.7162785+00:00","VersionId":"1","ModelVersion":"4.0","TechnologyData":{"Dependencies":[],"AssayTechnologyData":{"BioSampleType":[],"CellsTestedWith":[],"AssayTarget":{"CanonicalId":null,"Url":null,"Name":null,"OntologyId":null},"AssayCategory":{"CanonicalId":null,"Url":null,"Name":null,"OntologyId":null},"TechnologyType":{"CanonicalId":null,"Url":null,"Name":null,"OntologyId":null},"TechnologyPlatform":null,"CompatibleTools":[]},"DeviceEquipmentTechnologyData":{"CompatibleTools":[],"CellsTestedWith":[],"Placeholder":"Test"},"ServiceTechnologyData":{"CellsTestedWith":[],"Placeholder":"test"},"CodePipelineTechnologyData":{"Placeholder":"Test"}}}