Model-based analysis of two-color arrays (MA2C)

被引：86

作者：

Song, Jun S. ^{[1
,2
]}

Johnson, W. Evan ^{[1
,2
]}

Zhu, Xiaopeng ^{[3
]}

Zhang, Xinmin ^{[4
]}

Li, Wei ^{[1
,2
]}

Manrai, Arjun K. ^{[5
]}

Liu, Jun S. ^{[2
,6
]}

Chen, Runsheng ^{[3
]}

Liu, X. Shirley ^{[1
,2
]}

机构：

[1] Dana Farber Canc Inst, Dept Biostat & Computat Biol, Boston, MA 02115 USA

[2] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA

[3] Chinese Acad Sci, Inst Biophys, Bioinformat Lab, Beijing 100101, Peoples R China

[4] NimbleGen Syst Inc, Madison, WI 53711 USA

[5] Harvard Univ, Dept Phys, Cambridge, MA 02138 USA

[6] Harvard Univ, Dept Stat, Cambridge, MA 02138 USA

来源：

GENOME BIOLOGY | 2007年 / 8卷 / 08期

关键词：

D O I：

10.1186/gb-2007-8-8-r178

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

A novel normalization method based on the GC content of probes is developed for two-color tiling arrays. The proposed method, together with robust estimates of the model parameters, is shown to perform superbly on published data sets. A robust algorithm for detecting peak regions is also formulated and shown to perform well compared to other approaches. The tools have been implemented as a stand-alone Java program called MA2C, which can display various plots of statistical analysis for quality control.

引用

页数：13

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