衰老C. elegans
Quantitative transcriptional analysis of aging C. elegans
摘要：
我的分析使用了为数据挖掘微阵列实验开发的方法，适用于衰老研究。方法将统计力学知识与统计数学中的数据挖掘方法结合起来。分析可以揭示基因的转录调控是如何一致的，从而暗示蛋白质是网络的一部分，共同发挥共同的生物功能。这种实验对于由几种分子途径的假定功能产生的复杂生物学特性最有用。衰老是一种这样的生物现象，它显然包含了许多分子机制，这些机制是环境刺激感知、代谢调节、应激反应、生殖信号传导、冬眠和转录调节的基础。
英文摘要：
My analysis uses methods developed for data mining microarray experiments, adapted for ageing research. Methods bridge knowledge of statistical mechanics with data mining methods developed in statistical mathematics. Analyses can reveal how the transcriptional regulation of genes might coincide, thereby implicating proteins as parts of networks acting together towards a common biological function. Such experiments are most useful for complex biological traits that result from the presumed functioning of several molecular pathways. Ageing is one such biological phenomenon that apparently incorporates numerous molecular mechanisms underlying environmental stimulus sensing, metabolic regulation, stress responses, reproductive signalling, hibernation, and transcriptional regulation.
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。
