Electronically subtracting expression patterns from a mixed cell population | Zendy

Mark Gosink | Zendy; Howard T. Petrie | Zendy; Nicholas F. Tsinoremas | Zendy

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Electronically subtracting expression patterns from a mixed cell population

Author(s) -

Mark Gosink,

Howard T. Petrie,

Nicholas F. Tsinoremas

Publication year - 2007

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btm508

Subject(s) - population , expression (computer science) , gene expression , cell type , cell , computational biology , biology , identification (biology) , microarray , microarray analysis techniques , gene , computer science , genetics , ecology , medicine , environmental health , programming language

Biological samples frequently contain multiple cell-types that each can play a crucial role in the development and/or regulation of adjacent cells or tissues. The search for biomarkers, or expression patterns of, one cell-type in those samples can be a complex and time-consuming process. Ordinarily, extensive laboratory bench work must be performed to separate the mixed cell population into its subcomponents, such that each can be accurately characterized.

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