B.M.Bolstad, R.A.Irizarry, M.Astrand and T.P.Speed
A comparison of normalization methods for high density oligonucleotide array data based on variance and bias
Bioinformatics Vol. 19 no. 2 2003 Pages 185-193
[PDF]
・マイクロアレイデータの正規化法を提案する。
・提案する正規化法 : Complete data methods (Bioconductorに同梱)
1.Cyclic Loess
2.Contrast based method
3.Quantile normalization
・比較する従来の正規化法
1.Scaling methods : the standard Affymetrix normalization
2.Non-linear method [Schadt, Li and Wang](dChipで使用)
・データ
1.Dilution/Mixture Data : 75 HG-U95A (version 2) arrays [GeneLogic,2002]
2.Spike-in Data : 98 HG-U95A (version 1) arrays [GeneLogic,2002]
・提案法の特長「We propose three different methods of normalizing probe intensity level oligonucleotide data, none of which is dependent on the choice of a baseline array. Normalization is carried out at probe level fot all the probes on an array.」
A comparison of normalization methods for high density oligonucleotide array data based on variance and bias
Bioinformatics Vol. 19 no. 2 2003 Pages 185-193
[PDF]
・マイクロアレイデータの正規化法を提案する。
・提案する正規化法 : Complete data methods (Bioconductorに同梱)
1.Cyclic Loess
2.Contrast based method
3.Quantile normalization
・比較する従来の正規化法
1.Scaling methods : the standard Affymetrix normalization
2.Non-linear method [Schadt, Li and Wang](dChipで使用)
・データ
1.Dilution/Mixture Data : 75 HG-U95A (version 2) arrays [GeneLogic,2002]
2.Spike-in Data : 98 HG-U95A (version 1) arrays [GeneLogic,2002]
・提案法の特長「We propose three different methods of normalizing probe intensity level oligonucleotide data, none of which is dependent on the choice of a baseline array. Normalization is carried out at probe level fot all the probes on an array.」