Development of a novel integrated data mining that facilitates functional analysis in the post-genomic era -- Exploring novel gene coexpression --

我们研究了一个集成的数据挖掘，促进功能分析，以改善功能预测基因共表达方法的局限性。我们开发了DiffCorr包，这是一种简单的方法，用于识别相关网络中两个实验条件之间的模式变化，它建立在常用的关联度量基础上。我们的方法适用于推断因果关系和检测候选生物标志物的第一步。

We have investigated an integrated data mining that facilitates functional analysis to improve limits in gene coexpression approach for function prediction. We have developed the DiffCorr package, a simple method for identifying pattern changes between 2 experimental conditions in correlation networks, which builds on a commonly used association measure. Our method is suitable for the first step towards inferring causal relationships and detecting biomarker candidates.