Kuo Winston Patrick, Mendez Eduardo, Chen Chu, Whipple Mark E, Farell Greg, Agoff Nicholas, Park Peter J
Department of Oral Medicine, Harvard School of Dental Medicine.
AMIA Annu Symp Proc. 2003;2003:371-5.
We developed a novel method for the discovery of functional relationships between pairs of genes based on gene expression profiles generated from microarrays. This approach examines all possible pairs of genes and identifies those in which the relationship between the two genes changes in different diseases or conditions. In contrast to previous methods that have focused on differentially expressed genes, this method attempts to find changes in the correlation between genes. These changes may be indicative of the functional relationships related to a disease mechanism. We demonstrate the utility of this approach by applying it to an oral squamous cell carcinoma (OSCC) microarray data set. Our results suggest new directions for future experimental investigations.
我们基于微阵列生成的基因表达谱，开发了一种用于发现基因对之间功能关系的新方法。该方法检查所有可能的基因对，并识别出两个基因之间的关系在不同疾病或条件下发生变化的那些基因对。与以往专注于差异表达基因的方法不同，此方法试图找到基因之间相关性的变化。这些变化可能表明与疾病机制相关的功能关系。我们通过将该方法应用于口腔鳞状细胞癌（OSCC）微阵列数据集来证明其效用。我们的结果为未来的实验研究指明了新方向。
