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BMCBI
2011
14 years 7 months ago
Motif-guided sparse decomposition of gene expression data for regulatory module identification
Background: Genes work coordinately as gene modules or gene networks. Various computational approaches have been proposed to find gene modules based on gene expression data; for e...
Ting Gong, Jianhua Xuan, Li Chen, Rebecca B. Riggi...
BMCBI
2006
216views more  BMCBI 2006»
14 years 12 months ago
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
Haiying Wang, Huiru Zheng, David Simpson, Francisc...
CORR
2011
Springer
177views Education» more  CORR 2011»
14 years 6 months ago
Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS
Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they have been applied to many data intensive problems including...
Feng Niu, Christopher Ré, AnHai Doan, Jude ...
ICIAP
1997
ACM
15 years 4 months ago
A Method for Segmentation of CT Head Images
A novel method for automatic segmentation of computed tomography CT head images of patients having spontaneous intracerebral brain hemorrhage has been presented in this work. The...
Sven Loncaric, Domagoj Kovacevic
IJCNN
2006
IEEE
15 years 6 months ago
Data Fusion for Outlier Detection through Pseudo-ROC Curves and Rank Distributions
— This paper proposes a novel method of fusing models for classification of unbalanced data. The unbalanced data contains a majority of healthy (negative) instances, and a minor...
Paul F. Evangelista, Mark J. Embrechts, Boleslaw K...