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» A copula method for modeling directional dependence of genes
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JCB
2000
103views more  JCB 2000»
14 years 9 months ago
Testing for Differentially-Expressed Genes by Maximum-Likelihood Analysis of Microarray Data
Although two-color uorescent DNA microarrays are now standard equipment in many molecular biology laboratories, methods for identifying differentially expressed genes in microarra...
Trey Ideker, Vesteinn Thorsson, Andrew F. Siegel, ...
ICASSP
2011
IEEE
14 years 1 months ago
Time-lagged Directed Information
Directed Information (DI) has recently been introduced to quantify the causality between two signals. However, one major remaining issue with DI is the computational complexity wh...
Ying Liu, Selin Aviyente
BMCBI
2008
97views more  BMCBI 2008»
14 years 9 months ago
Large-scale directional relationship extraction and resolution
Background: Relationships between entities such as genes, chemicals, metabolites, phenotypes and diseases in MEDLINE are often directional. That is, one may affect the other in a ...
Cory B. Giles, Jonathan D. Wren
CSB
2003
IEEE
130views Bioinformatics» more  CSB 2003»
15 years 2 months ago
Latent Structure Models for the Analysis of Gene Expression Data
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
Dong Hua, Dechang Chen, Xiuzhen Cheng, Abdou Youss...
63
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EMNLP
2007
14 years 11 months ago
Structured Prediction Models via the Matrix-Tree Theorem
This paper provides an algorithmic framework for learning statistical models involving directed spanning trees, or equivalently non-projective dependency structures. We show how p...
Terry Koo, Amir Globerson, Xavier Carreras, Michae...