Title :
Infinite latent process decomposition
Author :
Masada, Tomonari ; Shibata, Yuichiro ; Oguri, Kiyoshi
Author_Institution :
Dept. of Comput. & Inf. Sci., Nagasaki Univ., Nagasaki, Japan
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;
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
DOI :
10.1109/BIBMW.2010.5703919
