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Improved prediction of bacterial transcription start sites
J J Gordon et al.
Bioinformatics (Oxford, England) 22 (2), 142-8 (15 Jan 2006)
"Our approaches to TSS prediction are based upon an ensemble of support vector machines (SVMs) employing a variant of the mismatch string kernel. This classifier is subsequently combined with a PWM and a model based on distribution of distances from TSS to gene start."
 
PLoS Computational Biology: Predicting Gene Expression from Sequence: A Reexamination
www.ploscompbiol.org
State of the art assessment of transcription factor binding site for the prediction of gene expression.
 
Phylogenomic inference of protein molecular function: advances and challenges
Kimmen Sjolander
Bioinformatics (Oxford, England) 20 (2), 170-9 (22 Jan 2004)
 
Prediction of Gene Expression in Embryonic Structures of Drosophila melanogaster
Anastasia Samsonova et al.
PLoS Computational Biology 3 (7), 144 (01 Jul 2007)
 
Discovering functional linkages and uncharacterized cellular pathways using phylogenetic profile comparisons: a comprehensive assessment
Raja Jothi, Teresa Przytycka, and L Aravind
BMC Bioinformatics 8 (1), 173 (23 May 2007)
 
Detection of functional modules from protein interaction networks.
Jose Pereira-Leal, Anton Enright, and And Ouzounis
Proteins. 54 (1), 49-57 (01 Jan 2004)
Markov chain clustering (MCL) for prediction of protein complexes and functional modules.
 
A comprehensive set of protein complexes in yeast: mining large scale protein-protein interaction screens.
Roland Krause, Christian Von Mering, and Peer Bork
Bioinformatics (Oxford, England) 19 (15), 1901-8 (12 Oct 2003)
Prediction of complexes by clustering of purifications.
Posted by spitshine (who is an author) and 1 other to protein complexes 1vs predictions on Tue Nov 28 2006 at 14:15 UTC | info | related
 
Protein complexes and functional modules in molecular networks.
Victor Spirin and Leonid Mirny
Proceedings of the National Academy of Sciences of the United States of America. 100 (21), 12123-8 (14 Oct 2003)
Another early method to detect protein complexes
 
An automated method for finding molecular complexes in large protein interaction networks.
Gary Bader and Christopher Hogue
BMC bioinformatics [electronic resource]. 4, 2 (13 Jan 2003)
The first automated method to predict protein complexes from diverse interaction data.
 
Evaluation of clustering algorithms for protein-protein interaction networks.
Sylvain Brohee and Jacques Van Helden
BMC Bioinformatics 7 (1), 488 (06 Nov 2006)

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