A distribution free summarization method for Affymetrix GeneChip® arrays

被引:81
作者
Chen, Zhongxue
McGee, Monnie [1 ]
Liu, Qingzhong
Scheuermann, Richard H.
机构
[1] So Methodist Univ, Dept Stat Sci, Dallas, TX 75275 USA
[2] Univ Texas, SW Med Ctr, Dept Pathol, Dallas, TX 75390 USA
[3] New Mexico Inst Min & Technol, Dept Comp Sci, Socorro, NM 87801 USA
关键词
D O I
10.1093/bioinformatics/btl609
中图分类号
Q5 [生物化学];
学科分类号
071010 [生物化学与分子生物学]; 081704 [应用化学];
摘要
Motivation: Affymetrix GeneChip arrays require summarization in order to combine the probe-level intensities into one value representing the expression level of a gene. However, probe intensity measurements are expected to be affected by different levels of non-specific- and cross-hybridization to non-specific transcripts. Here, we present a new summarization technique, the Distribution Free Weighted method (DFW), which uses information about the variability in probe behavior to estimate the extent of non-specific and cross-hybridization for each probe. The contribution of the probe is weighted accordingly during summarization, without making any distributional assumptions for the probe-level data. Results: We compare DFW with several popular summarization methods on spike-in datasets, via both our own calculations and the 'Affycomp II' competition. The results show that DFW outperforms other methods when sensitivity and specificity are considered simultaneously. With the Affycomp spike-in datasets, the area under the receiver operating characteristic curve for DFW is nearly 1.0 (a perfect value), indicating that DFW can identify all differentially expressed genes with a few false positives. The approach used is also computationally faster than most other methods in current use.
引用
收藏
页码:321 / 327
页数:7
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