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» Semantic Mining and Analysis of Gene Expression Data
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BMCBI
2008
117views more  BMCBI 2008»
14 years 10 months ago
A probabilistic framework to predict protein function from interaction data integrated with semantic knowledge
Background: The functional characterization of newly discovered proteins has been a challenge in the post-genomic era. Protein-protein interactions provide insights into the funct...
Young-Rae Cho, Lei Shi, Murali Ramanathan, Aidong ...
DILS
2004
Springer
15 years 1 months ago
Efficient Techniques to Explore and Rank Paths in Life Science Data Sources
Abstract. Life science data sources represent a complex link-driven federation of publicly available Web accessible sources. A fundamental need for scientists today is the ability ...
Zoé Lacroix, Louiqa Raschid, Maria-Esther V...
ICANN
2010
Springer
14 years 11 months ago
Discovery of Exogenous Variables in Data with More Variables Than Observations
Many statistical methods have been proposed to estimate causal models in classical situations with fewer variables than observations. However, modern datasets including gene expres...
Yasuhiro Sogawa, Shohei Shimizu, Aapo Hyvärin...
BMCBI
2006
105views more  BMCBI 2006»
14 years 10 months ago
Integrative investigation of metabolic and transcriptomic data
Background: New analysis methods are being developed to integrate data from transcriptome, proteome, interactome, metabolome, and other investigative approaches. At the same time,...
Pinar Pir, Betül Kirdar, Andrew Hayes, Z. Ils...
SIGIR
2003
ACM
15 years 3 months ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann