Quotation Scharl, Theresa, Grün, Bettina, Leisch, Friedrich. 2010. Mixtures of Regression Models for Time-Course Gene Expression Data: Evaluation of Initialization and Random Effects. Bioinformatics 26 (3): 370-377.


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Abstract

Finite mixture models are routinely applied to time course microarray data. Due to the complexity and size of this type of data, the choice of good starting values plays an important role. So far initialization strategies have only been investigated for data from a mixture of multivariate normal distributions. In this work several initialization procedures are evaluated for mixtures of regression models with and without random effects in an extensive simulation study on different artificial datasets. Finally, these procedures are also applied to a real dataset from Escherichia coli.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Bioinformatics
Citation Index SCI
WU-Journal-Rating new FIN-A
Language English
Title Mixtures of Regression Models for Time-Course Gene Expression Data: Evaluation of Initialization and Random Effects
Volume 26
Number 3
Year 2010
Page from 370
Page to 377
Reviewed? Y

Associations

Projects
Modelling Unobserved Heterogeneity Using Mixtures
People
Grün, Bettina (Details)
External
Leisch, Friedrich
Scharl, Theresa
Organization
Institute for Statistics and Mathematics IN (Details)
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