Determining a detectable threshold of signal intensity in cDNA microarray based on accumulated distribution.

Determining a detectable threshold of signal intensity in cDNA microarray based on accumulated distribution.
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根据累积分布确定 cDNA 微阵列中信号强度的可检测阈值。

DOI:
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发表时间:
2003
期刊:
Journal of biochemistry and molecular biology
影响因子:
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通讯作者:
Y. Mao
Y. Mao
中科院分区:
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文献类型:
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作者:
Xia Gao;Xu;Tao Li;Jian Zi;Yao Luo;Qing Wei;Erliang Zeng;Yi Xie;Yao Li;Y. Mao

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在微阵列数据挖掘中,如何处理微弱信号是关键问题之一。基于芯片数据中普遍存在的弯曲分段线性累积分布,提出了一种新的可检测阈值寻找方法来过滤不可靠信息的基因。为后续的数据挖掘产生更可靠和可重复的数据。
In microarray data mining, one of the key problems is how to handle weak signals. Based on a bent piecewise linear accumulated distribution generally found in the microarray data, a new detectable threshold finding method is proposed to filter genes with unreliable information in this paper. More reliable and reproducible data is produced for the subsequent data mining.
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