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

Model-based analysis of two-color arrays (MA2C).
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基于模型的两色阵列(MA2C)的分析。

DOI:
10.1186/gb-2007-8-8-r178
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发表时间:
2007
期刊:
影响因子:
12.3
通讯作者:
Liu, X Shirley
Liu, X Shirley
中科院分区:
生物学1区
文献类型:
--
作者:
Song, Jun S;Johnson, W Evan;Zhu, Xiaopeng;Zhang, Xinmin;Li, Wei;Manrai, Arjun K;Liu, Jun S;Chen, Runsheng;Liu, X Shirley

文献摘要

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提出了一种基于探针GC含量的双色平铺阵列归一化方法和检测峰区域的算法。它们可在独立的 Java 程序中使用。针对双色平铺阵列开发了一种基于探针 GC 含量的新型归一化方法。所提出的方法以及模型参数的稳健估计在已发布的数据集上表现出色。还制定了用于检测峰区域的稳健算法,并且与其他方法相比,该算法表现良好。这些工具已作为名为 MA2C 的独立 Java 程序实现,它可以显示用于质量控制的各种统计分析图。
A normalization method based on probe GC content for two-color tiling arrays and an algorithm for detecting peak regions are presented. They are available in a stand-alone Java program. 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.