Extracting yeast stress genes by dependencies between stress treatments
msra
摘要
methods applicable to modeling dependencies, namely Bayes networks or other generative models of data, the method needs less assumptions. It is an exploratory method whose outputs can subsequently be used for building more specific hypotheses and models. It is much harder to define stress response on gene expression level than it is to name treatments that are stressful for yeast. This inspires a data-driven definition of stress as a response shared by multiple stressful treatments. More specifically, we assume that statistical dependencies between gene expressions in stress data sets are due to stress, because stress is the main common property of the data sets. We search for environmental stress response genes in yeast with a new non- parametric method that detects genes having notable dependencies. The approach is generally applicable to other analogous
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络