149 search results - page 14 / 30 » Modeling the Marginal Distribution of Gene Expression with M... |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We introduce Bayesian sensing hidden Markov models (BS-HMMs) to represent speech data based on a set of state-dependent basis vectors. By incorporating the prior density of sensin...
BMCBI
2006
13 years 7 months ago
2006
Background: Low-level processing and normalization of microarray data are most important steps in microarray analysis, which have profound impact on downstream analysis. Multiple ...
ISNN
2005
Springer
14 years 1 months ago
2005
Springer
It is important in bioinformatics research and applications to select or discover informative genes of a tumor from microarray data. However, most of the existing methods are based...
BMCBI
2005
13 years 7 months ago
2005
Background: Microarray experiments, as well as other genomic analyses, often result in large gene sets containing up to several hundred genes. The biological significance of such ...
AAAI
2000
13 years 9 months ago
2000
We introduce the notion of restricted Bayes optimal classifiers. These classifiers attempt to combine the flexibility of the generative approach to classification with the high ac...