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» Statistical significance of MUC-6 results
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BMCBI
2008
135views more  BMCBI 2008»
13 years 9 months ago
Knowledge-guided multi-scale independent component analysis for biomarker identification
Background: Many statistical methods have been proposed to identify disease biomarkers from gene expression profiles. However, from gene expression profile data alone, statistical...
Li Chen, Jianhua Xuan, Chen Wang, Ie-Ming Shih, Yu...
BMCBI
2008
185views more  BMCBI 2008»
13 years 9 months ago
Mining clinical relationships from patient narratives
Background: The Clinical E-Science Framework (CLEF) project has built a system to extract clinically significant information from the textual component of medical records in order...
Angus Roberts, Robert J. Gaizauskas, Mark Hepple, ...
ECML
2006
Springer
14 years 27 days ago
Fisher Kernels for Relational Data
Abstract. Combining statistical and relational learning receives currently a lot of attention. The majority of statistical relational learning approaches focus on density estimatio...
Uwe Dick, Kristian Kersting
BIOCOMP
2006
13 years 10 months ago
Marker Gene Selection Evaluation in Brain Tumor Patients Using Parallel Coordinates
Based on microarray gene expression datasets, many statistical methods have been proposed to locate the significant differentially expressed genes (marker genes) among different sa...
Atiq Islam, Khan M. Iftekharuddin, David J. Russom...
GPEM
2006
80views more  GPEM 2006»
13 years 9 months ago
Unbounded evolutionary dynamics in a system of agents that actively process and transform their environment
Abstract. Bedau et al.'s statistical classification system for long-term evolutionary dynamics provides a test for open-ended evolution. Making this test more rigorous, and pa...
Alastair Channon