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BMCBI
2007
146views more  BMCBI 2007»
13 years 9 months ago
Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...
BMCBI
2010
97views more  BMCBI 2010»
13 years 4 months ago
A semi-parametric Bayesian model for unsupervised differential co-expression analysis
Background: Differential co-expression analysis is an emerging strategy for characterizing disease related dysregulation of gene expression regulatory networks. Given pre-defined ...
Johannes M. Freudenberg, Siva Sivaganesan, Michael...
KDD
2002
ACM
194views Data Mining» more  KDD 2002»
14 years 9 months ago
Scale Space Exploration For Mining Image Information Content
Images are highly complex multidimensional signals, with rich and complicated information content. For this reason they are difficult to analyze through a unique automated approach...
Mariana Ciucu, Patrick Héas, Mihai Datcu, J...
ICASSP
2008
IEEE
14 years 3 months ago
Abnormal event detection based on trajectory clustering by 2-depth greedy search
Clustering-based approaches for abnormal video event detection have been proven to be effective in the recent literature. Based on the framework proposed in our previous work [1],...
Fan Jiang, Ying Wu, Aggelos K. Katsaggelos
NIPS
2004
13 years 10 months ago
A Probabilistic Model for Online Document Clustering with Application to Novelty Detection
In this paper we propose a probabilistic model for online document clustering. We use non-parametric Dirichlet process prior to model the growing number of clusters, and use a pri...
Jian Zhang 0003, Zoubin Ghahramani, Yiming Yang