CGHcall: calling aberrations for array CGH tumor profiles
CGHcall: calling aberrations for array CGH tumor profiles
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DOI：
10.1093/bioinformatics/btm030
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发表时间：
2007-04-01
期刊：
影响因子：
5.8
通讯作者：
Ylstra, Bauke
中科院分区：
文献类型：
--
作者：
van de Wiel, Mark A.;Kim, Kyung In;Ylstra, Bauke
CGHcall 通过有效利用分割中的断点信息以及包含现有算法忽略的几个生物学概念，实现了阵列 CGH 数据的高调用精度。该算法针对模拟和验证的真实阵列 CGH 数据进行了验证。通过合并三个以上的类别，CGHcall 改进了单拷贝增益和扩增的检测。此外，它允许有效包含染色体臂信息。
CGHcall achieves high calling accuracy for array CGH data by effective use of breakpoint information from segmentation and by inclusion of several biological concepts that are ignored by existing algorithms. The algorithm is validated for simulated and verified real array CGH data. By incorporating more than three classes, CGHcall improves detection of single copy gains and amplifications. Moreover, it allows effective inclusion of chromosome arm information.