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Methods in Molecular Biology (Clifton, N.J.)|January 17, 2017
An Efficient Semi-supervised Learning Approach to Predict SH2 Domain Mediated InteractionsKousik Kundu, Rolf Backofen
BMC Genomics|February 26, 2014
Cluster based prediction of PDZ-peptide interactionsKousik Kundu, Rolf Backofen
Bioinformatics (Oxford, England)|July 2, 2013
A graph kernel approach for alignment-free domain-peptide interaction prediction with an application to human SH3 domainsKousik Kundu, Fabrizio Costa, Rolf Backofen
Bioinformatics (Oxford, England)|May 30, 2014
MoDPepInt: an interactive web server for prediction of modular domain-peptide interactionsKousik Kundu, Martin Mann, Fabrizio Costa, et al.
Plos One|May 22, 2013
Semi-supervised prediction of SH2-peptide interactions from imbalanced high-throughput dataKousik Kundu, Fabrizio Costa, Michael Huber, et al.
Methods in Molecular Biology (Clifton, N.J.)|March 19, 2014
Computational prediction of RNA-RNA interactionsRolf Backofen
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|March 27, 2007
A dynamic programming approach for finding common patterns in RNAsSven Siebert, Rolf Backofen
Nucleic Acids Research|April 25, 2007
INFO-RNA--a server for fast inverse RNA folding satisfying sequence constraintsAnke Busch, Rolf Backofen
Bioinformatics (Oxford, England)|May 20, 2006
INFO-RNA--a fast approach to inverse RNA foldingAnke Busch, Rolf Backofen
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