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需要分析程序从大量不断涌现的基因表达数据中提取有用信息。本研究描述了一套分析工具及其在酵母细胞周期数据上的应用。我们方法的组成部分包括(1)一种降低假阳性数量的相似性度量, (2)专为基因表达模式分组设计的新聚类算法,和(3)允许用户反馈和验证的交互式图形聚类分析工具。我们使用算法生成的聚类总结全基因组表达,并启动对基因的监督聚类,形成有生物学意义的群体。
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Laurie J. Heyer
Semyon Kruglyak
Shibu Yooseph
Genome Research
University of Southern California
Southern California University for Professional Studies
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Heyer 等人(Mon,)研究了这个问题。
www.synapsesocial.com/papers/6a093b9142764e571715fbc6 — DOI: https://doi.org/10.1101/gr.9.11.1106
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