Comparison of different probe-level analysis techniques for oligonucleotide microarrays | Zendy

Barbara Rosati | Zendy; Frederic R. Grau | Zendy; Anneke Kuehler | Zendy; Samantha Rodriguez | Zendy; David McKin | Zendy

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Comparison of different probe-level analysis techniques for oligonucleotide microarrays

Author(s) -

Barbara Rosati,

Frederic R. Grau,

Anneke Kuehler,

Samantha Rodriguez,

David McKin

Publication year - 2004

Publication title -

biotechniques

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.617

H-Index - 131

eISSN - 1940-9818

pISSN - 0736-6205

DOI - 10.2144/04362mt03

Subject(s) - false positive paradox , oligonucleotide , dna microarray , data set , set (abstract data type) , computational biology , computer science , data mining , true positive rate , microarray , biology , statistics , genetics , mathematics , artificial intelligence , gene , gene expression , programming language

Three different software packages for the probe-level analysis of high-density oligonucleotide microarray data were compared using an experiment-derived data set that was validated using real-time PCR. The efficiency with which these three programs could identify true positives in this data set was assessed. In addition, estimates of false-positive and false-negative rates were determined. The performance of the programs using very small data sets was also compared, and recommendations for use are suggested.

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