DocumentCode
2380376
Title
Infinite latent process decomposition
Author
Masada, Tomonari ; Shibata, Yuichiro ; Oguri, Kiyoshi
Author_Institution
Dept. of Comput. & Inf. Sci., Nagasaki Univ., Nagasaki, Japan
fYear
2010
fDate
18-18 Dec. 2010
Firstpage
810
Lastpage
811
Abstract
This paper presents infinite latent process decomposition (iLPD), a new microarray analysis method, as an extension of latent process decomposition. Our method assumes an infinite number of latent processes. Further, our new collapsed variational Bayesian inference improves the inference proposed in in the treatment of Dirichlet hyperparameters. We also give the results of the comparison experiment.
Keywords
DNA; belief networks; bioinformatics; data analysis; genetics; genomics; inference mechanisms; lab-on-a-chip; molecular biophysics; variational techniques; DNA microarray analysis method; Dirichlet hyperparameter; bioinformatics; data sets; gene expression; infinite latent process decomposition; variational Bayesian inference; Bayesian nonparametrics; microarray data;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedicine Workshops (BIBMW), 2010 IEEE International Conference on
Conference_Location
Hong, Kong
Print_ISBN
978-1-4244-8303-7
Electronic_ISBN
978-1-4244-8304-4
Type
conf
DOI
10.1109/BIBMW.2010.5703919
Filename
5703919
Link To Document