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Robust enumeration of cell subsets from tissue expression profiles.


ABSTRACT: We introduce CIBERSORT, a method for characterizing cell composition of complex tissues from their gene expression profiles. When applied to enumeration of hematopoietic subsets in RNA mixtures from fresh, frozen and fixed tissues, including solid tumors, CIBERSORT outperformed other methods with respect to noise, unknown mixture content and closely related cell types. CIBERSORT should enable large-scale analysis of RNA mixtures for cellular biomarkers and therapeutic targets (http://cibersort.stanford.edu/).

SUBMITTER: Newman AM 

PROVIDER: S-EPMC4739640 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature

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Robust enumeration of cell subsets from tissue expression profiles.

Newman Aaron M AM   Liu Chih Long CL   Green Michael R MR   Gentles Andrew J AJ   Feng Weiguo W   Xu Yue Y   Hoang Chuong D CD   Diehn Maximilian M   Alizadeh Ash A AA  

Nature methods 20150330 5


We introduce CIBERSORT, a method for characterizing cell composition of complex tissues from their gene expression profiles. When applied to enumeration of hematopoietic subsets in RNA mixtures from fresh, frozen and fixed tissues, including solid tumors, CIBERSORT outperformed other methods with respect to noise, unknown mixture content and closely related cell types. CIBERSORT should enable large-scale analysis of RNA mixtures for cellular biomarkers and therapeutic targets (http://cibersort.s  ...[more]

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