Statistical methods of background correction for Illumina BeadArray data | Zendy

Yang Xie | Zendy; Xinlei Wang | Zendy; Michael D. Story | Zendy

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Statistical methods of background correction for Illumina BeadArray data

Author(s) -

Yang Xie,

Xinlei Wang,

Michael D. Story

Publication year - 2009

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/btp040

Subject(s) - computer science , bayes' theorem , bayesian probability , data mining , parametric statistics , pattern recognition (psychology) , artificial intelligence , statistics , mathematics

Advances in technology have made different microarray platforms available. Among the many, Illumina BeadArrays are relatively new and have captured significant market share. With BeadArray technology, high data quality is generated from low sample input at reduced cost. However, the analysis methods for Illumina BeadArrays are far behind those for Affymetrix oligonucleotide arrays, and so need to be improved.

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