基因表达数据的聚类分析
Cluster Analysis of Gene Expression Data
摘要：
通过DNA微阵列（芯片）可以同时测量数千个基因的表达水平。这种新颖的实验工具彻底改变了分子生物学的研究，并产生了相当大的兴奋。一个典型的实验使用几十个这样的芯片，每个芯片专用于一个单一的样本-例如从特定肿瘤中提取的组织。这样一个实验的结果包含几十万个数字，这些数字以表格的形式出现，有几千行（每个基因一行）和50 - 100列（每个样本一列）。我们开发了一种聚类方法来挖掘这些数据。在这篇评论中，我提供了一个非常基本的介绍这个问题，针对物理观众没有事先的知识，无论是基因表达或聚类方法。我解释了什么是基因，什么是基因表达以及如何通过DNA芯片测量。接下来，我将解释什么是“聚类”，以及我们如何分析来自此类实验的大量数据，并介绍从结肠癌，脑肿瘤和乳腺癌获得的数据分析获得的结果。
英文摘要：
The expression levels of many thousands of genes can be measured simultaneously by DNA microarrays (chips). This novel experimental tool has revolutionized research in molecular biology and generated considerable excitement. A typical experiment uses a few tens of such chips, each dedicated to a single sample - such as tissue extracted from a particular tumor. The results of such an experiment contain several hundred thousand numbers, that come in the form of a table, of several thousand rows (one for each gene) and 50 - 100 columns (one for each sample). We developed a clustering methodology to mine such data. In this review I provide a very basic introduction to the subject, aimed at a physics audience with no prior knowledge of either gene expression or clustering methods. I explain what genes are, what is gene expression and how it is measured by DNA chips. Next I explain what is meant by "clustering" and how we analyze the massive amounts of data from such experiments, and present results obtained from analysis of data obtained from colon cancer, brain tumors and breast cancer.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
