A statistically driven approach for image segmentation and signal extraction in cDNA microarrays.

A statistically driven approach for image segmentation and signal extraction in cDNA microarrays.
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一种统计驱动的 cDNA 微阵列图像分割和信号提取方法。

DOI:
10.1089/cmb.2004.11.695
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发表时间:
2004
期刊:
Journal of computational biology : a journal of computational molecular cell biology.
影响因子:
--
通讯作者:
Zhao,LP
Zhao,LP
中科院分区:
--
文献类型:
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作者:
Bergemann,TL;Laws,RJ;Quiaoit,F;Zhao,LP

文献摘要

相似文献

The increasing use of cDNA microarrays necessitates the development of methods for extracting quality data. Here, we set forth hurdles to overcome in image analysis of microarrays. We emphasize the importance of objective data extraction methods resulting in reliable signal estimates. Based on statistical principles, we describe a method for automated grid alignment, spot detection, background estimation, flagging, and signal extraction. A software application that we call SignalViewer has been implemented for this method. We identify areas where we improved upon current methods used for array image analysis at each step in the process. Finally, we give examples to illustrate the performance of our algorithms on raw data.