Modeling the marginal distribution of gene expression with mixture models

Edward Wijaya, Hajime Harada, Brice Horton Ii Paul

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

We report the results of fitting mixture models to the distribution of expression values for individual genes over a broad range of normal tissues, which we call the marginal distribution of the gene. The base distributions used were normal, lognormal and gamma. The expectationmaximization algorithm was used to learn the model parameters. Experiments with articifial data were performed to ascertain the robustness of learning. Applying the procedure to data from two publicly available microarray datasets, we conclude that lognormal performed the best function for modeling the marginal distributions of gene expression. Our results should provide guidances in the development of informed priors or gene specific normalization for use with gene network inference algorithms.

Original languageEnglish
Title of host publicationProceedings of the 2008 2nd International Conference on Future Generation Communication and Networking, FGCN 2008 and BSBT 2008
Subtitle of host publication2008 International Conference on Bio-Science and Bio-Technology
Pages84-89
Number of pages6
DOIs
Publication statusPublished - 2008 Dec 1
Event2008 International Conference on Bio-Science and Bio-Technology, BSBT 2008, held in conjunction with 2008 2nd International Conference on Future Generation Communication and Networking, FGCN 2008 - Hainan Island, China
Duration: 2008 Dec 132008 Dec 15

Publication series

NameProceedings of the 2008 2nd International Conference on Future Generation Communication and Networking, FGCN 2008 and BSBT 2008: 2008 International Conference on Bio-Science and Bio-Technology
Volume3

Other

Other2008 International Conference on Bio-Science and Bio-Technology, BSBT 2008, held in conjunction with 2008 2nd International Conference on Future Generation Communication and Networking, FGCN 2008
CountryChina
CityHainan Island
Period08-12-1308-12-15

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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