arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0806.1988q-bio.QM
收藏

一维随机势问题的统计特征及其在基于MS的肽序列评分统计中的应用

Statistical Characterization of a 1D Random Potential Problem - with applications in score statistics of MS-based peptide sequencing

Gelio Alves, Yi-Kuo Yu

摘要:

本文通过得到一维跳跃模型的态密度,给出了一个完整的热力学解。由于配分函数通过拉普拉斯变换与态密度相关,态密度完全决定了系统的热力学行为。我们还表明,转移矩阵技术,或所谓的动态规划,用于获得在1D跳跃模型的状态密度,可以推广到解决一个长期存在的问题,在统计意义评估的一个最重要的蛋白质组学任务-肽测序使用串联质谱数据。

英文摘要:

We provide a complete thermodynamic solution of a 1D hopping model in the presence of a random potential by obtaining the density of states. Since the partition function is related to the density of states by a Laplace transform, the density of states determines completely the thermodynamic behavior of the system. We have also shown that the transfer matrix technique, or the so-called dynamic programming, used to obtain the density of states in the 1D hopping model may be generalized to tackle a long-standing problem in statistical significance assessment for one of the most important proteomic tasks - peptide sequencing using tandem mass spectrometry data.

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。

↑