Adjustment of systematic microarray data biases | Zendy

Mónica Benito | Zendy; Joel S. Parker | Zendy; Quan Du | Zendy; Junyuan Wu | Zendy; Xiang Dong | Zendy; Charles M. Perou | Zendy; J. S. Marron | Zendy

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Adjustment of systematic microarray data biases

Author(s) -

Mónica Benito,

Joel S. Parker,

Quan Du,

Junyuan Wu,

Xiang Dong,

Charles M. Perou,

J. S. Marron

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/btg385

Subject(s) - computer science , microarray analysis techniques , microarray , microarray databases , data mining , computational biology , statistics , biology , mathematics , genetics , gene , gene expression

Systematic differences due to experimental features of microarray experiments are present in most large microarray data sets. Many different experimental features can cause biases including different sources of RNA, different production lots of microarrays or different microarray platforms. These systematic effects present a substantial hurdle to the analysis of microarray data.

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