Inferring Gene Dependency Networks from Genomic Longitudinal Data: a Functional Data Approach

Autor:	Rainer Opgen-Rhein, Korbinian Strimmer
Jazyk:	angličtina
Rok vydání:	2006
Předmět:	graphical model longitudinal data dynamical correlation gene dependency networks Statistics HA1-4737 Probabilities. Mathematical statistics QA273-280
Zdroj:	Revstat Statistical Journal, Vol 4, Iss 1 (2006)
Druh dokumentu:	article
ISSN:	1645-6726 2183-0371
DOI:	10.57805/revstat.v4i1.26
Popis:	A key aim of systems biology is to unravel the regulatory interactions among genes and gene products in a cell. Here we investigate a graphical model that treats the observed gene expression over time as realizations of random curves. This approach is centered around an estimator of dynamical pairwise correlation that takes account of the functional nature of the observed data. This allows to extend the graphical Gaussian modeling framework from i.i.d. data to analyze longitudinal genomic data. The new method is illustrated by analyzing highly replicated data from a genome experiment concerning the expression response of human T-cells to PMA and ionomicin treatment.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/d3463848ebe942bcb943597624c1e933 Zobrazit plný text záznamu View record in DOAJ