Statistical adjustment of signal censoring in gene expression experiments | Zendy

Ernst C. Wit | Zendy; John McClure | Zendy

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Statistical adjustment of signal censoring in gene expression experiments

Author(s) -

Ernst C. Wit,

John McClure

Publication year - 2003

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/btg003

Subject(s) - censoring (clinical trials) , computer science , gene expression , statistical analysis , computational biology , statistics , signal (programming language) , expression (computer science) , gene , genetics , biology , mathematics , programming language

Numerical output of spotted microarrays displays censoring of pixel intensities at some software dependent threshold. This reduces the quality of gene expression data, because it seriously violates the linearity of expression with respect to signal intensity. Statistical methods based on typically available spot summaries together with some parametric assumptions can suggest ways to correct for this defect.

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