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» Gene Classification using Expression Profiles: A Feasibility...
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COMPSAC
2004
IEEE
13 years 11 months ago
On the Complexity of Finding Emerging Patterns
Emerging patterns have been studied as a useful type of pattern for the diagnosis and understanding of diseases based on the analysis of gene expression profiles. They are useful ...
Lusheng Wang, Hao Zhao, Guozhu Dong, Jianping Li
DLOG
2004
13 years 9 months ago
Using Non-Primitive Concept Definitions for Improving DL-based Knowledge Bases
Medical Terminological Knowledge Bases contain a large number of primitive concept definitions. This is due to the large number of natural kinds that are represented, and due to t...
Ronald Cornet, Ameen Abu-Hanna
RECOMB
2003
Springer
14 years 8 months ago
An integrated probabilistic model for functional prediction of proteins
We develop an integrated probabilistic model to combine protein physical interactions, genetic interactions, highly correlated gene expression network, protein complex data, and d...
Minghua Deng, Ting Chen, Fengzhu Sun
BMCBI
2005
151views more  BMCBI 2005»
13 years 7 months ago
stam - a Bioconductor compliant R package for structured analysis of microarray data
Background: Genome wide microarray studies have the potential to unveil novel disease entities. Clinically homogeneous groups of patients can have diverse gene expression profiles...
Claudio Lottaz, Rainer Spang
BMCBI
2010
193views more  BMCBI 2010»
13 years 2 months ago
Mayday - integrative analytics for expression data
Background: DNA Microarrays have become the standard method for large scale analyses of gene expression and epigenomics. The increasing complexity and inherent noisiness of the ge...
Florian Battke, Stephan Symons, Kay Nieselt