Publikation: Dissertationsschrift

Analyzing gene expression data with linear mixed models

Grunddaten
Link
Abstract
Autoren
Einrichtung

Grunddaten

Titel	Analyzing gene expression data with linear mixed models
Untertitel	applications to variable pool sizes and biomarkers
Erscheinungsjahr	2015
Verlag	Universität Rostock
Verlagsort	Rostock
Publikationsform	Elektronische Ressource
Publikationsart	Dissertationsschrift
Sprache	Englisch
Letzte Änderung	28.03.2017 14:44:28
Bearbeitungsstatus	durch UB Rostock abschließend validiert
Dauerhafte URL	http://purl.uni-rostock.de/fodb/pub/52298
Links zu Katalogen

Abstract

This work is about the design and statistical analysis of gene expression experiments with variable pool sizes. Conditions for unbiased contrasts in such experiments were derived. They were analyzed with linear mixed models, introducing a new type of variance component that accounts for unequal shares of individual samples in common pools. The relevance of this blending error variance was then investigated for four experimental data sets from different species. Finally a biomarker search for hygienic behavior in Apis mellifera workers was conducted, using nerve tissue gene expression data.

Autor

Rudolf, Henrik

Externer Link

Beschreibung	Link
Link zur Online-Ressource (kostenfrei zugänglich ohne Registrierung)	http://rosdok.uni-rostock.de/resolve/urn/urn:nbn:de:gbv:28-diss2016-0062-1

Einrichtung

Agrar- und Umweltwissenschaftliche Fakultät (AUF)