CIBERSORT specifications

Information


Unique identifier OMICS_16757
Name CIBERSORT
Alternative name Cell-type Identification By Estimating Relative Subsets Of RNA Transcripts
Interface Web user interface
Input data A matrix of reference gene expression signatures and some datasets.
Output data A heat map table, stacked bar plot representations of each cell type present in the mixture.
Programming languages Java, PHP, R
Database management system MySQL
Computer skills Basic
Stability Stable
Maintained Yes

Maintainer


  • person_outline Ash Alizadeh <>

Additional information


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Publication for Cell-type Identification By Estimating Relative Subsets Of RNA Transcripts

CIBERSORT institution(s)
Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA; Division of Oncology, Department of Medicine, Stanford Cancer Institute, Stanford University, Stanford, CA, USA; Center for Cancer Systems Biology, Stanford University, Stanford, CA, USA; Department of Radiology, Stanford University, Stanford, CA, USA; Department of Radiation Oncology, Stanford University, Stanford, CA, USA; Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University, Stanford, CA, USA; Stanford Cancer Institute, Stanford University, Stanford, CA, USA; Division of Hematology, Department of Medicine, Stanford Cancer Institute, Stanford University, Stanford, CA, USA
CIBERSORT funding source(s)
This work was supported by grants from the Doris Duke Charitable Foundation, the Damon Runyon Cancer Research Foundation, the B&J Cardan Oncology Research Fund, the Ludwig Institute for Cancer Research, US National Institutes of Health (NIH) grant U01 CA154969, NIH grant U19 AI090019, NIH grant 5T32 CA09302-35, US Department of Defense grant W81XWH-12-1-0498, and a grant from the Siebel Stem Cell Institute and the Thomas and Stacey Siebel Foundation.

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