Process Pathway Inference via Time Series Analysis
生物物理
2007-05-23 v1 数据分析、统计与概率
基因组学
定量方法
摘要
Motivated by recent experimental developments in functional genomics, we construct and test a numerical technique for inferring it process pathways, in which one process calls another process, from time series data. We validate using a case in which data are readily available and formulate an extension, appropriate for genetic regulatory networks, which exploits Bayesian inference and in which the present--day undersampling is compensated for by prior understanding of genetic regulation.
引用
@article{arxiv.physics/0206031,
title = {Process Pathway Inference via Time Series Analysis},
author = {Chris Wiggins and Ilya Nemenman},
journal= {arXiv preprint arXiv:physics/0206031},
year = {2007}
}