一种新的聚类方法及其在结肠癌蛋白质组学分析中的应用。

IASTED International Conference on Computational and Systems Biology : November 13-14, 2006, Dallas, Texas, USA (CASB 2006) Pub Date : 2006-11-01

Yongbin Ou, Lan Guo, Cun-Quan Zhang

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引用次数: 0

摘要

本文介绍了一种新的聚类方法:拟团合并，并给出了相应的数据预处理程序。这个程序在输出中构建了具有更少数量的簇的非二叉层次树。在输出中也允许有重叠的簇。我们利用先前确定的5-氟尿嘧啶(5-FU)化学敏感性的蛋白质组学决定因素，将这种新方法应用于60种人类癌细胞系(NCI-60)的聚类。所有结肠癌细胞系都聚集成一个簇，表明这8个蛋白质组学标记是结肠癌潜在的诊断标记。在相同的数据集上，基于新聚类方法的聚类结果优于以往的聚类方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A NEW CLUSTERING METHOD AND ITS APPLICATION TO PROTEOMIC PROFILING FOR COLON CANCER.

In this paper, we introduce a new clustering method: quasi-clique merger, and its associated data pretreatment programs. This program constructs non-binary hierarchical trees with much smaller number of clusters in the outputs. And overlapping clusters are also allowed in the outputs. We applied this new method to cluster 60 human cancer cell lines (the NCI-60) using the previously identified proteomic determinants for chemosensitivity of 5-Fluorouracil (5-FU). All colon cancer cell lines were aggregated into a single cluster, indicating that the eight proteomic markers are potential diagnostic markers of colon cancer. The results based on the new clustering method have surpassed those based on previous methods on the same datasets.

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IASTED International Conference on Computational and Systems Biology : November 13-14, 2006, Dallas, Texas, USA (CASB 2006)

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