95 search results - page 6 / 19 » A Bayesian nonparametric method for prediction in EST analys... |
RECOMB
2010
Springer
14 years 3 months ago
2010
Springer
Clustering methods are a useful and common first step in gene expression studies, but the results may be hard to interpret. We bring in explicitly an indicator of which genes tie ...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
Link prediction is a key technique in many applications such as recommender systems, where potential links between users and items need to be predicted. A challenge in link predic...
MICCAI
2010
Springer
13 years 7 months ago
2010
Springer
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
BMCBI
2008
13 years 8 months ago
2008
Background: Analysis of complex samples with tandem mass spectrometry (MS/MS) has become routine in proteomic research. However, validation of database search results creates a bo...
MICCAI
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...