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A Computational Approach Using Ratio Statistics for Identifying Housekeeping Genes from cDNA Microarray Data

机译:一种使用比率统计从cDNA芯片数据中识别管家基因的计算方法

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摘要

We predict housekeeping genes from replicate microarray gene expression data of human lymphoblastoid cells and liver tissue with outliers removed using a scoring scheme, by an algorithm based on statistical hypothesis testing, assuming that such genes are constitutively expressed. A few predicted genes were examined and found to be housekeeping.
机译:通过基于统计假设检验的算法,我们假设从人类淋巴母细胞和肝脏组织的复制的微阵列基因表达数据中剔除离群值,并使用统计假设检验的算法来预测管家基因,假设这些基因是组成型表达的。检查了一些预测的基因,发现它们是管家。

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