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URL: https://cibersort.stanford.edu/
Proper Citation: CIBERSORT (RRID:SCR_016955)
Description: Software tool to provide an estimation of the abundances of member cell types in a mixed cell population, using gene expression data. Used for characterizing cell composition of complex tissues from their gene expression profiles, large scale analysis of RNA mixtures for cellular biomarkers and therapeutic targets.
Resource Type: data analytics software, software application, software resource
Defining Citation: PMID:25822800
Keywords: estimation, abundance, cell, type, mixed, population, gene, expression, data, tissue, complex, analysis, RNA, biomarker, therapeutic, target, bio.tools
Funding: B&J Cardan Oncology Research Fund ; Damon Runyon Cancer Research Foundation ; Doris Duke Charitable Foundation ; Ludwig Institute for Cancer Research ; NCI T32 CA09302; NCI U01 CA154969; NIAID U19 AI090019; Siebel Stem Cell Institute ; Thomas and Stacey Siebel Foundation ; US Department of Defense
Availability: Not freely available for download or distribution, Available for non commercial users, Registration required
Resource Name: CIBERSORT
Resource ID: SCR_016955
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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.
Email: info_at_ dknet.org
