MMAD: microarray microdissection with analysis of differences is a computational tool for deconvoluting cell type-specific contributions from tissue samples | Zendy

David A. Liebner | Zendy; Kun Huang | Zendy; Jeffrey D. Parvin | Zendy

Open Access

MMAD: microarray microdissection with analysis of differences is a computational tool for deconvoluting cell type-specific contributions from tissue samples

Author(s) -

David A. Liebner,

Kun Huang,

Jeffrey D. Parvin

Publication year - 2013

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/btt566

Subject(s) - laser capture microdissection , in silico , dna microarray , computational biology , microarray analysis techniques , microarray , normalization (sociology) , computer science , biology , gene expression , gene , genetics , sociology , anthropology

One of the significant obstacles in the development of clinically relevant microarray-derived biomarkers and classifiers is tissue heterogeneity. Physical cell separation techniques, such as cell sorting and laser-capture microdissection, can enrich samples for cell types of interest, but are costly, labor intensive and can limit investigation of important interactions between different cell types.

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