Construction of correlation networks with explicit time-slices using time-lagged, variable interval standard and partial correlation coefficients

Wouter Meuleman, Monique Welten, Fons J Verbeek

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Abstract

The construction of gene regulatory models from microarray time-series data has received much attention. Here we propose a method that extends standard correlation networks to incorporate explicit time-slices. The method is applied to a time-series dataset of a study on gene expression in the developmental phase of zebrafish. Results show that the method is able to distinguish real relations between genes from the data. These relations are explicitly placed in time, allowing for a better understanding of gene regulation. The method and data normalisation procedure have been implemented using the R statistical language and are available from http://zebrafish.liacs.nl/supplements.html.
Original languageEnglish
Title of host publicationComputational Life Sciences II
Subtitle of host publicationSecond International Symposium, CompLife 2006, Cambridge, UK, September 27-29, 2006. Proceedings
EditorsMichael R. Berthold, Robert C. Glen, Ingrid Fischer
PublisherSpringer Berlin Heidelberg
Pages236-246
Number of pages11
ISBN (Electronic)978-3-540-45768-8
ISBN (Print)978-3-540-45767-1
DOIs
Publication statusPublished - 2006

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
Volume4216
ISSN (Print)0302-9743

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