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» A Bayesian framework for combining gene predictions
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UAI
2003
13 years 9 months ago
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
Collaborative filtering (CF) and contentbased filtering (CBF) have widely been used in information filtering applications, both approaches having their individual strengths and...
Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying...
BMCBI
2006
133views more  BMCBI 2006»
13 years 7 months ago
An integrated approach to the prediction of domain-domain interactions
Background: The development of high-throughput technologies has produced several large scale protein interaction data sets for multiple species, and significant efforts have been ...
Hyunju Lee, Minghua Deng, Fengzhu Sun, Ting Chen
JIB
2006
220views more  JIB 2006»
13 years 7 months ago
An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
ISBRA
2009
Springer
14 years 2 months ago
Prediction of Contiguous Regions in the Amniote Ancestral Genome
Abstract. We investigate the problem of inferring contiguous ancestral regions (CARs) of the genome of the last common ancestor of all extant amniotes, based on the currently seque...
Aïda Ouangraoua, Frédéric Boyer...
BMCBI
2010
149views more  BMCBI 2010»
13 years 7 months ago
Identifying common prognostic factors in genomic cancer studies: A novel index for censored outcomes
Background: With the growing number of public repositories for high-throughput genomic data, it is of great interest to combine the results produced by independent research groups...
Sigrid Rouam, Thierry Moreau, Philippe Broët