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Bioinformatics (Oxford, England)|October 10, 2007
Leveraging the structure of the Semantic Web to enhance information retrieval for proteomicsAndrew Smith, Kei Cheung, Michael Krauthammer, et al.
BMC Bioinformatics|August 7, 2009
Multi-level learning: improving the prediction of protein, domain and residue interactions by allowing information flow between levelsKevin Y Yip, Philip M Kim, Drew McDermott, et al.
BMC Bioinformatics|October 20, 2004
Information assessment on predicting protein-protein interactionsNan Lin, Baolin Wu, Ronald Jansen, et al.
Genome Research|August 11, 2006
Predicting essential genes in fungal genomesMichael Seringhaus, Alberto Paccanaro, Anthony Borneman, et al.
Bioinformatics (Oxford, England)|June 10, 2010
Using semantic web rules to reason on an ontology of pseudogenesMatthew E Holford, Ekta Khurana, Kei-Hoi Cheung, et al.
Nucleic Acids Research|August 26, 2015
LARVA: an integrative framework for large-scale analysis of recurrent variants in noncoding annotationsLucas Lochovsky, Jing Zhang, Yao Fu, et al.
BMC Bioinformatics|June 6, 2020
Origins and characterization of variants shared between databases of somatic and germline human mutationsWilliam Meyerson, John Leisman, Fabio C P Navarro, et al.
Bioinformatics (Oxford, England)|July 25, 2015
High-order neural networks and kernel methods for peptide-MHC binding predictionPavel P Kuksa, Martin Renqiang Min, Rishabh Dugar, et al.
Nucleic Acids Research|January 16, 2004
TopNet: a tool for comparing biological sub-networks, correlating protein properties with topological statisticsHaiyuan Yu, Xiaowei Zhu, Dov Greenbaum, et al.
Scientific Reports|May 25, 2023
Genetic determination of regional connectivity in modelling the spread of COVID-19 outbreak for more efficient mitigation strategiesLeonidas Salichos, Jonathan Warrell, Hannah Cevasco, et al.
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